{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 训练集和验证集数据分布\n",
    "\n",
    "- 分析每个种类的数量分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlAAAAFgCAYAAAB0cEd1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAoV0lEQVR4nO3de7gsBXXn/e9PDqio4SJHggJCDJqYjEreI5ExGhXJSzQGzRheSVAwZE7GjBozcRxiZkajSR7N1duMzlEQiEhUvEC8EAleiBMlHi4qAt5QFORyFFC8IrLeP7pOstnu3ntX7e7qrr2/n+epZ3dX1epadap6ndXVVdWpKiRJkrR6d5l1ApIkSUNjAyVJktSSDZQkSVJLNlCSJEkt2UBJkiS1ZAMlSZLUkg2UOknyviTHT+i1Tk3yJ5N4LUkaJ0kl+cnm8euS/I/VzLuK131xkjdNKk8Ngw3UBpLkWwuGO5J8d8Hz32zzWlX1y1V12rRyHSfJh5L8dt/LlTR7Sc5N8pIlxh+d5Pokm1b7WlX1n6rqpZPNcGV+YFw/bKA2kKq6584B+DLwpAXjztg5X5siJEk9Og04LkkWjX86cEZV3T6DnLRB2UCJJI9Jck2S/5bkeuCNSfZK8u4kO5Lc3Dzef0HMvx4JSnJCko8k+ctm3i8m+eVllndokouT3JrkLcDdFkwbu9wkfwo8CnhNc9TsNc34Vyb5SpJvJrkoyaOm8y8lacbeBdybUR0ARjUD+BXg9CSHJflokluSXJfkNUl2W+qFFh8JSvJfm5ivJvmt5ZJIcnCSDzc17Dxgn0XT39YcEftGkguS/Ewzfivwm8ALmhr29834k5J8oXm9y5M8pcs/jvplA6WdfhzYG7g/sJXRvvHG5vmBwHeB1ywT//PAZxgVkj8HTl7iUyJNMXsX8LfN8t4G/IcFs4xdblX9EfBPwLObo2bPbmI+Djyseb03A29LcjckrStV9V3grcAzFow+Briyqj4B/BD4fUZ16HDgCOB3V3rdJEcBzweOBA4BHr9CyJuBi5rlvBRYfD7o+5rXuQ9wMXBGk/+25vGfNzXsSc38X2DUFO4B/DHwpiT7rZS3ZssGSjvdAbyoqr5fVd+tqq9X1dur6jtVdSvwp8AvLhN/dVW9vqp+yOgw+37AvkvM9whgV+AVVfWDqjqLUQMEQIflUlVvauJur6q/Au4KPKjFuksajtOApy74kPSMZhxVdVFVfaypBV8C/g8r1I/GMcAbq+qyqvo28OJxMyY5EHg48D+aenkB8PcL56mqU6rq1qr6fvNaD02yx7jXrKq3VdVXq+qOqnoL8DngsFXkrRmygdJOO6rqezufJNk9yf9JcnWSbwIXAHsm2WVM/PU7H1TVd5qH91xivvsC19adf8X66jUslyTPT3JFc7j8Fkaf4vYZN7+k4aqqjwBfA56c5AGMGo03AyR5YPO1//VN/fgzVlcL7gt8ZcHzq8fN2Mx7c9No/cj8SXZJ8rLmK7lvAl9qJo3NI8kzklzafPV4C/Czq8xbM2QDpZ1q0fM/YHQU5+er6seARzfjf+RruZauA+636Ou9A1ss9055Nuc7vYDRJ8i9qmpP4BsTyFPS/Dqd0ZGn44B/qKobmvGvBa4EDmnqxwtZXS24DjhgwfMDx83YzLtXknuMmf83gKMZfQ24B3BQM35cDbs/8Hrg2cC9mxp22Srz1gzZQGmcezE6/+iWJHsDL5rQ634UuB14bpJdk/wadz5UvdJybwB+YtH8twM7gE1J/ifwYxPKVdJ8Op1Rg/Ifab6+a9wL+CbwrSQ/BTxrla/3VuCEJA9OsjvL1LuquhrYDvxxkt2S/ALwpAWz3Av4PvB1YHdGR8EWWlzD7sGoqdoBkOSZjI5Aac7ZQGmcVwB3Z3So/GPAuZN40aq6Dfg14ATgJuD/A97RYrmvZHT+w81JXgX8QzPPZxkdRv8edz4UL2mdac5v+mdGzcc5CyY9n9ERoFsZHdV5yypf732Mas8HgM83f5fzG4wunLmJUbN1+oJppzOqRdcClzOqYwudDDy4+bruXVV1OfBXjD5c3gD8O+D/riZvzVbufCqKJEmSVuIRKEmSpJZsoCRJklqygZIkSWrJBkqSJKmlXn80dp999qmDDjqoz0VKmqGLLrroa1W1edZ5TIL1S9p4lqthvTZQBx10ENu3b+9zkZJmKMlyd3QeFOuXtPEsV8P8Ck+SJKklGyhJkqSWbKAkSZJasoGSJElqyQZKkiSpJRsoSZKklmygJEmSWrKBkiRJaskGStK6luSUJDcmuWzR+OckuTLJp5P8+azykzRMNlCS1rtTgaMWjkjyWOBo4KFV9TPAX84gL0kDZgMlaV2rqguAmxaNfhbwsqr6fjPPjb0nJmnQev0tvDYOOuk9q573Sy974qDizHG2cUPIsU3cLHMcsAcCj0ryp8D3gOdX1ccXz5RkK7AV4MADD2y1APfNO8cNIcc2cUPIcWHcEHLsGjer+uURKEkb0SZgb+ARwH8F3poki2eqqm1VtaWqtmzevOQPskvaoGygJG1E1wDvqJF/Ae4A9plxTpIGxAZK0kb0LuCxAEkeCOwGfG2WCUkalrk9B0qSJiHJmcBjgH2SXAO8CDgFOKW5tcFtwPFVVbPLUtLQ2EBJWteq6tgxk47rNRFJ64pf4UmSJLVkAyVJktSSDZQkSVJLNlCSJEkt2UBJkiS1ZAMlSZLUkg2UJElSS6tqoJLsmeSsJFcmuSLJ4Un2TnJeks81f/eadrKSJEnzYLVHoF4JnFtVPwU8FLgCOAk4v6oOAc5vnkuSJK17KzZQSfYAHg2cDFBVt1XVLcDRwGnNbKcBT55OipIkSfNlNUegDgZ2AG9MckmSNyS5B7BvVV3XzHM9sO9SwUm2JtmeZPuOHTsmk7UkSdIMraaB2gT8HPDaqjoU+DaLvq5rfoRzyR/irKptVbWlqrZs3rx5rflKkiTN3GoaqGuAa6rqwub5WYwaqhuS7AfQ/L1xOilKkiTNlxUbqKq6HvhKkgc1o44ALgfOAY5vxh0PnD2VDCVJkubMplXO9xzgjCS7AVcBz2TUfL01yYnA1cAx00lRkiRpvqyqgaqqS4EtS0w6YqLZSJIkDYB3IpckSWrJBkqSJKklGyhJkqSWbKAkSZJasoGSJElqyQZKkiSpJRsoSZKklmygJK1rSU5JcmOSy5aY9gdJKsk+s8hN0nDZQEla704Fjlo8MskBwC8BX+47IUnDZwMlaV2rqguAm5aY9DfAC4DqNyNJ64ENlKQNJ8nRwLVV9YlZ5yJpmFb7Y8KStC4k2R14IaOv71aadyuwFeDAAw+ccmaShsQjUJI2mgcABwOfSPIlYH/g4iQ/vnjGqtpWVVuqasvmzZt7TlPSPPMIlKQNpao+Bdxn5/OmidpSVV+bWVKSBscjUJLWtSRnAh8FHpTkmiQnzjonScPnEShJ61pVHbvC9IN6SkXSOuIRKEmSpJZsoCRJklqygZIkSWrJBkqSJKklGyhJkqSWbKAkSZJasoGSJElqyQZKkiSpJRsoSZKklmygJEmSWrKBkiRJaskGSpIkqSUbKEmSpJZsoCRJklqygZIkSWrJBkqSJKmlTauZKcmXgFuBHwK3V9WWJHsDbwEOAr4EHFNVN08nTUmSpPnR5gjUY6vqYVW1pXl+EnB+VR0CnN88lyRJWvfW8hXe0cBpzePTgCevORtJkqQBWG0DVcD7k1yUZGszbt+quq55fD2w71KBSbYm2Z5k+44dO9aYriRJ0uyt6hwo4Beq6tok9wHOS3LlwolVVUlqqcCq2gZsA9iyZcuS80iSJA3Jqo5AVdW1zd8bgXcChwE3JNkPoPl747SSlCRJmicrNlBJ7pHkXjsfA78EXAacAxzfzHY8cPa0kpQkSZonq/kKb1/gnUl2zv/mqjo3yceBtyY5EbgaOGZ6aUqSJM2PFRuoqroKeOgS478OHDGNpCRpUpKcAvwKcGNV/Wwz7i+AJwG3AV8AnllVt8wsSUmD453IJa13pwJHLRp3HvCzVfUQ4LPAH/adlKRhs4GStK5V1QXATYvGvb+qbm+efgzYv/fEJA2aDZSkje63gPctNcH72EkaxwZK0oaV5I+A24EzlppeVduqaktVbdm8eXO/yUmaa6u9kaYkrStJTmB0cvkRVeVNfiW1YgMlacNJchTwAuAXq+o7s85H0vD4FZ6kdS3JmcBHgQcluaa5d91rgHsx+mmqS5O8bqZJShocj0BJWteq6tglRp/ceyKS1hWPQEmSJLVkAyVJktSSDZQkSVJLNlCSJEkt2UBJkiS1ZAMlSZLUkg2UJElSSzZQkiRJLdlASZIktWQDJUmS1JINlCRJUks2UJIkSS3ZQEmSJLVkAyVJktSSDZQkSVJLNlCSJEkt2UBJkiS1ZAMlSZLUkg2UJElSSzZQkiRJLdlASZIktWQDJUmS1JINlCRJUkurbqCS7JLkkiTvbp4fnOTCJJ9P8pYku00vTUnqJskpSW5MctmCcXsnOS/J55q/e80yR0nD0+YI1O8BVyx4/nLgb6rqJ4GbgRMnmZgkTcipwFGLxp0EnF9VhwDnN88ladVW1UAl2R94IvCG5nmAxwFnNbOcBjx5CvlJ0ppU1QXATYtGH82oboH1S1IHqz0C9QrgBcAdzfN7A7dU1e3N82uA+y0VmGRrku1Jtu/YsWMtuUrSpOxbVdc1j68H9l1qJuuXpHFWbKCS/ApwY1Vd1GUBVbWtqrZU1ZbNmzd3eQlJmpqqKqDGTLN+SVrSplXM80jgV5M8Abgb8GPAK4E9k2xqjkLtD1w7vTQlaaJuSLJfVV2XZD/gxlknJGlYVjwCVVV/WFX7V9VBwNOAD1TVbwIfBJ7azHY8cPbUspSkyTqHUd0C65ekDtZyH6j/BvyXJJ9ndE7UyZNJSZImJ8mZwEeBByW5JsmJwMuAI5N8Dnh881ySVm01X+H9q6r6EPCh5vFVwGGTT0mSJqeqjh0z6YheE5G0rngnckmSpJZsoCRJklqygZIkSWrJBkqSJKklGyhJkqSWbKAkSZJasoGSJElqyQZKkiSpJRsoSZKklmygJEmSWrKBkiRJaskGSpIkqSUbKEmSpJZsoCRJklqygZIkSWrJBkqSJKklGyhJkqSWbKAkSZJasoGSJElqyQZKkiSpJRsoSZKklmygJEmSWrKBkiRJaskGSpIkqSUbKEkbVpLfT/LpJJclOTPJ3Wadk6RhsIGStCEluR/wXGBLVf0ssAvwtNlmJWkobKAkbWSbgLsn2QTsDnx1xvlIGggbKEkbUlVdC/wl8GXgOuAbVfX+hfMk2Zpke5LtO3bsmEWakuaUDZSkDSnJXsDRwMHAfYF7JDlu4TxVta2qtlTVls2bN88iTUlzygZK0kb1eOCLVbWjqn4AvAP49zPOSdJA2EBJ2qi+DDwiye5JAhwBXDHjnCQNhA2UpA2pqi4EzgIuBj7FqB5um2lSkgZj00ozNPdFuQC4azP/WVX1oiQHA38H3Bu4CHh6Vd02zWQlaZKq6kXAi2adh6ThWc0RqO8Dj6uqhwIPA45K8gjg5cDfVNVPAjcDJ04tS0mSpDmyYgNVI99qnu7aDAU8jtHhb4DTgCdPI0FJkqR5s6pzoJLskuRS4EbgPOALwC1VdXszyzXA/cbEeh8VSZK0rqyqgaqqH1bVw4D9gcOAn1rtAryPiiRJWm9aXYVXVbcAHwQOB/Zsfv4ARo3VtZNNTZIkaT6t2EAl2Zxkz+bx3YEjGd0r5YPAU5vZjgfOnlKOkiRJc2XF2xgA+wGnJdmFUcP11qp6d5LLgb9L8ifAJcDJU8xTkiRpbqzYQFXVJ4FDlxh/FaPzoSRJkjYU70QuSZLUkg2UJElSSzZQkiRJLdlASZIktWQDJUmS1JINlCRJUks2UJIkSS3ZQEmSJLVkAyVJktSSDZQkSVJLNlCSJEkt2UBJkiS1ZAMlSZLUkg2UJElSSzZQkiRJLdlASdqwkuyZ5KwkVya5Isnhs85J0jBsmnUCkjRDrwTOraqnJtkN2H3WCUkaBhsoSRtSkj2ARwMnAFTVbcBts8xJ0nD4FZ6kjepgYAfwxiSXJHlDknssnCHJ1iTbk2zfsWPHbLKUNJdsoCRtVJuAnwNeW1WHAt8GTlo4Q1Vtq6otVbVl8+bNs8hR0pyygZK0UV0DXFNVFzbPz2LUUEnSimygJG1IVXU98JUkD2pGHQFcPsOUJA2IJ5FL2sieA5zRXIF3FfDMGecjaSBsoCRtWFV1KbBl1nlIGh6/wpMkSWrJBkqSJKklGyhJkqSWbKAkSZJasoGSJElqyQZKkiSpJRsoSZKkllZsoJIckOSDSS5P8ukkv9eM3zvJeUk+1/zda/rpSpIkzd5qjkDdDvxBVT0YeATwn5M8mNGPbp5fVYcA57PoRzglSZLWqxUbqKq6rqoubh7fClwB3A84Gjitme004MlTylGSJGmutDoHKslBwKHAhcC+VXVdM+l6YN8xMVuTbE+yfceOHWvJVZIkaS6suoFKck/g7cDzquqbC6dVVQG1VFxVbauqLVW1ZfPmzWtKVpIkaR6sqoFKsiuj5umMqnpHM/qGJPs10/cDbpxOipIkSfNlNVfhBTgZuKKq/nrBpHOA45vHxwNnTz49SZKk+bNpFfM8Eng68KkklzbjXgi8DHhrkhOBq4FjppKhJEnSnFmxgaqqjwAZM/mIyaYjSZI0/7wTuSRJUks2UJIkSS3ZQEmSJLVkAyVJktSSDZQkSVJLNlCSJEkt2UBJkiS1ZAMlacNKskuSS5K8e9a5SBoWGyhJG9nvAVfMOglJw2MDJWlDSrI/8ETgDbPORdLw2EBJ2qheAbwAuGPcDEm2JtmeZPuOHTt6S0zS/LOBkrThJPkV4Maqumi5+apqW1Vtqaotmzdv7ik7SUNgAyVpI3ok8KtJvgT8HfC4JG+abUqShsQGStKGU1V/WFX7V9VBwNOAD1TVcTNOS9KA2EBJkiS1tGnWCUjSLFXVh4APzTgNSQPjEShJkqSWbKAkSZJasoGSJElqyQZKkiSpJRsoSZKklmygJEmSWrKBkiRJaskGSpIkqSUbKEmSpJZsoCRJklqygZIkSWrJBkqSJKklGyhJkqSWbKAkSZJasoGSJElqyQZKkiSppRUbqCSnJLkxyWULxu2d5Lwkn2v+7jXdNCVJkubHao5AnQoctWjcScD5VXUIcH7zXJIkaUNYsYGqqguAmxaNPho4rXl8GvDkyaYlSZI0v7qeA7VvVV3XPL4e2HfcjEm2JtmeZPuOHTs6Lk6SJGl+rPkk8qoqoJaZvq2qtlTVls2bN691cZIkSTPXtYG6Icl+AM3fGyeXkiRJ0nzr2kCdAxzfPD4eOHsy6UiSJM2/1dzG4Ezgo8CDklyT5ETgZcCRST4HPL55LkmStCFsWmmGqjp2zKQjJpyLJPUmyQHA6YwugilgW1W9crZZSRqKFRsoSVqnbgf+oKouTnIv4KIk51XV5bNOTNL886dcJG1IVXVdVV3cPL4VuAK432yzkjQUNlCSNrwkBwGHAhcuGu997CQtyQZK0oaW5J7A24HnVdU3F07zPnaSxrGBkrRhJdmVUfN0RlW9Y9b5SBoOGyhJG1KSACcDV1TVX886H0nDYgMlaaN6JPB04HFJLm2GJ8w6KUnD4G0MJG1IVfURILPOQ9IweQRKkiSpJRsoSZKklmygJEmSWrKBkiRJaskGSpIkqSUbKEmSpJZsoCRJklqygZIkSWrJBkqSJKklGyhJkqSWbKAkSZJasoGSJElqyQZKkiSpJRsoSZKklmygJEmSWrKBkiRJaskGSpIkqSUbKEmSpJZsoCRJklqygZIkSWrJBkqSJKklGyhJkqSWbKAkSZJaWlMDleSoJJ9J8vkkJ00qKUnqgzVMUledG6gkuwD/C/hl4MHAsUkePKnEJGmarGGS1mItR6AOAz5fVVdV1W3A3wFHTyYtSZo6a5ikzlJV3QKTpwJHVdVvN8+fDvx8VT170Xxbga3N0wcBn+meLgD7AF/rKa7PZXWNG0KOXeOGkGPXuPWc40L3r6rNa3yNqVhNDRt4/eoaN4Qcu8aZ42zjhpDjYmNr2KY1vvCKqmobsG1Sr5dke1Vt6SOuz2V1jRtCjl3jhpBj17j1nON6MuT61TVuCDl2jTPH2cYNIcc21vIV3rXAAQue79+Mk6QhsIZJ6mwtDdTHgUOSHJxkN+BpwDmTSUuSps4aJqmzzl/hVdXtSZ4N/AOwC3BKVX16YpmN1/Vwepe4PpfVNW4IOXaNG0KOXePWc46DMKMatp63+xDizHG2cUPIcdU6n0QuSZK0UXknckmSpJZsoCRJklqygZIkSWrJBkqSJKmlqd9Icy2S7AEcBdyvGXUt8A9VdUvH1zuyqs4bM20TcCLwFOC+C5Z3NnByVf2gyzInKcnuwLOBAl7N6LLrXwOuBF5SVd9a5et8tqoeOLVEO0ryY8DmqvrCovEPqapPjon5cYCquj7JZuBRwGfaXk2V5M+q6oUtYw4GDgUur6orl5nvQODGqvpekgAnAD8HXA68vqpuXyLmV4H3V9X32uTUxD4auKGqPpPkkcDhwBVV9Z4V4u7J6P12APBD4LNNDne0zUHWr8UmVb+a15q7GtalfjXT11zD5q1+NXGdatiQ6tfcHoFK8gzgYuAxwO7N8FjgomZaFycvM+1vgYcBLwae0Ax/DDwUeFPbBSUZe/lkkl2S/E6SlzY7yMJp/32Zlz0V2Bc4GHgPsAX4CyDAa8cs69Yk32yGW5PcCjxg5/hlcnzIgse7JvnvSc5J8mdNIRwX9+wk+zSPfzLJBUluSXJhkn+3TNwxjArp25N8OsnDF633UjG/A3wU+FiSZwHvBp4IvCPJicss61WLhlcDv7vz+TJx71rw+GjgA8CTgLOTnDAuDngv//Zee1mT44XAwxl/me1bgGuS/G2SJ2T0w7crSvKKZhl/m+SljPaPuwO/n+Qvlok7plmfoxj9J/dw4OnApcttNy1t6PULxtewPutX85q91bA+61cT17qGDaR+QYcaNrj6VVVzOTD6zak9lxi/F/DZZeLOGTP8PfDtZeKWe80lpwF7jxnuDVyzzOu9AXgz8DzgIuCvF0y7eJm4S5u/Aa7n325DEeCTY2JeBZwO7Ltg3BdX8e9/8YLHf8WoCPwi8DfA6cvEfXrB4/cAT2kePwb4v8utG7Bf8/gwRsVoZ+wlY2I+xeg/pnsD3wJ+fME+cukyy/oKo/9UngEc3ww7dj5eJu6SBY//GTi4ebwP8Ill4i5f8Pgi4C4Lni8ZB1zSrMd/BM4HbgBeB/ziCtvt083+sDtwM7B7M35X4LJl4j65YN59GB0pAXgI8M8r7S8OP/LvOff1q5nWuobRY/1qpvdWw+ixfjXTWtcwBlC/di6PljWMgdWvef4KL4wO9S52RzNtnEcBxzHaGRe/3mHLxN2U5NeBt1dzyC/JXYBfZ7Qhl7IDuHpRPtU8v88yyzqsqh7SLOM1wP9O8g7gWJZft9ECqirJe6vZQ5rnS97Qq6qem+T/Ac5sPoG8hqX/XRdbmMcRwMOr6gdJLgA+sUzcwn3qPlX1ziaPDyW51zJxu1TVdc28/5LkscC7kxywTL4/qKrvAN9J8oWqur6Jv3ncv0fjwcBLGX1aeX5VfTXJi6rqtGViWJTHpqr6YrO8ryVZ7jDxV5I8rqo+AHyJ0SHmq5Pce7llVdXNwOuB12d0mP8Y4GVJ9q+qA5aJqwX57Mz5DpY/4hzgu83jb9Psv1X1yYy+mlA7Q6hf0K2G9Va/mul91rA+6xd0q2FDqF/NS7euYYOqX/PcQP0pcHGS9zPquAEOBI5ktPOM8zHgO1X14cUTkiz3S+pPA17OqBjsLDh7Ah9spi3lKuCIqvryEsv6yhLz77Tbzgc1+v54a5L/yegQ5D2Xidue5J5V9a2q+q0Fy3oAcOu4oKq6KMnjGR3a/DBwt2WWsdMeSZ7CaKe9azXnUKxU7ICzkpwKvAR4Z5LnAe8EHgf8yL/TArcmeUA15w9U1XVJHgO8C/iZcauWZNcmtyfuHJnkbizzZquqW4HnNUX5jCTvWW7+BR7afGUQ4K5J9mvy3I3RnazH+W3g9CQvBr7B6LDypYz2r/8yJuZO/xE1hfVVwKuS3H+ZZb0nyT8x2sZvAN6a5GOMPnlfsEzce4Fzm/9cjgLeBpBk78W5aFWGUL+gWw3rtX41y+mrhvVZv6BDDRtI/YJuNWxQ9Wuu70SeZC/g/+VHT8Jc7hPVJJZ7b4Cq+voK8/1n4CNV9SOfZpI8p6pePSbuTcCbqurcReN/G3htVe3aIefUKjZmkv2AQ6vqvSvM98ZFo06qqhuaTxFnVNURy8SeADwLeABwV0b/gbwLeHlVfWNMzEMZfUXx+UXjdwWOqaozlog5EPhqLTqJMcn9gJ+uqn9cbh2beQP8LnB4VR230vxjXmPPZnkfXWG+nwYeyOiDyzXAx2vMCY5JHlNVH+qYz+HAHVV1YfOf01MYFf+zxi2viXsC8NOMvk45rxl3F2DXqvp+l1w2snmvX828rWvYLOtXM+9Ua1hf9auZvqYaNq/1q5m/Uw0bVP2qKX03OImBUVf8wb7ilnm9I2f9bzGNHOdtvbpst773kT7jhpCjw/xvh3l7n08yx3laN2vDMNdtLcPcXoUHUFU/BO7I6HLgqcctY7mrX5aU5MguC+oaR4ccO8ZMbd26bLe+95E+44aQo8abo+3Q2/u85/rVOW4a62ZtmEzcHL1vVjTP50Dt9C3gU0nOY3RyGDA6sXCScUnOGfM6YXSFRFsnMzrnYWJxXXKcwnrBFNZtgS7bu5d9ZEZxQ8hR4w21fkG39/lE69da4lYw0XVbwNowmbhB1K8hNFDvaIZpx7W++mUGBaHLFTqdruqZYbHrsr372kdmETeEHDXe3NYv6P1DWdcrDIewbjtZGyYTN4j6Ndcnke+U5O7AgVW13FUoa4pL8j7gz6vqg0tMu6CqHr3E+JsZ/8Z+S1XtO2ZZXeO65Ng6Zo05dopb9Bqtt3cf+8is4oaQo8ab1/rVTGv9fu2zfq0xrrd1W/Qa1oYJxA2ifvV5wlWXgdGdUj9Dc+M0RnfbPWdacS1zex/w2DHTLph0XM//7jNZty7bre99pM+4IeToMNzt0OX9OoT6Nat1szYMc90672PTeuGJJTi68+ke3PkuqmPvSLqWOAZwFVKXHIewXmvcbr3tI33HDSFHh/nYDkN4n3fNcQjrNoPtPYjaMIR16zrM9VV4jR/Uj957YzU/Dtg6rjqcxZ/R70L9yKHlacV1ybFLzFpy7BrX6LK9e9tHZhA3hBw13lzXL+j2fu2zfq0lrs91a1gbJhM3iPo1hJPIP53kN4BdkhwCPJfR7/hMK67VWfxV9cMkdyTZY4kNN1bXuC45do2Z0bp12W597yN9xg0hR4031/Wrmdb6/TqD+tUpbgbrZm2YTNwg6tfcn0Se0a9m/xHwS4xO5DsX+JOq+t6U4o5fanwt8ztDSc4GDgVaFYQ1xHXJsXXMGnPsGtd6u81gH+ktbgg5arwh1K8mrvX7tc/6tca4PtfN2jDAdetqCA3Uv/6+UB9xTWyrs/j7LghdclxDTN/FrvV263sf6TNuCDlqvCHUryamtw9lXXPsGtfzB05rwwTihlK/htBAfRjYH/g48E+MroT41BTjngT8JbBbVR2c5GHAS6rqV1eI67MgtM6x63p1zbFrXJftNoN9pLe4IeSo8YZSv5rYvj6Uda2xQ1g3a8ME4gZTv2oOrlxYaWD069+PZHRo7svATdOKo9sVA31fFtrnVQ29X07acbv1to/MYJ+c+xwd5mM79Pk+77N+DWXdZrC9B1EbhrBuXYa5P4k8yS8wuhPto4A9gXcz6iynEkdzFn+SheNWOov/xYzuiPshgKq6NMlPrGJZXeO65NglZi05dorrst363kf6jBtCjhpvIPULur1fu8SsJce5Xzdrw2TiBlO/ptWZTWoAbgcuBJ7M6NDttONOBn4D+CRwCPBq4HUrxHys+XvJgnGfXMWyusZ1ybF1zIzWrfV2m8E+0lvcEHJ0mJ/t0Of7vM/6NaB1szYMcN26DkO4D9Q+wEuAw4Fzk/xjkpdOMe45wM8A3wfOBL4BPG+FmDtdOpnk1XS45LJFXJccu8SsJceucV22W9/7SJ9xQ8hR4w2hfkG392uf9WstcX2um7VhMnGDqF9z/xVeVd2S5CrgAEYnh/17YNdpxQH7VdUfMfr+dLWe08y/8419LvAnU4zrkmOXmLXk2Cmuy3brex/pM24IOWq8gdQv6PZ+7bN+rSWut3WzNkwmbij1awhX4V0FXAl8BLgA+Jequm2KcV2uGOj7stA+r2roe91ab7cZ7CO9xQ0hR403hPrVxPV5qXnfV4H1uW7WhgnEDaV+DaGBuktVtb4Ve9e4JnY34OHAY4DfAe5ZVXsvM3/vl1y2zXENMX0Xu9bbre99pM+4IeSo8YZQv5qY3j6Udc2xa1zPHzitDROIG0z9mvZJVmsdGO3E7wRubIa3A/tPMe4XgD8E3svoO+//DRy7irg+L+9snWPX9ZrBurXebjPYR3qLG0KODvOzHfp+n/dVvwa0btaGAa5b12EqLzrRBEe30n8mo/O1NgEnAOdNMa7LFQO9FoSOOXa9qqHvdWu93Wawj/QWN4QcHeZnO/T5Pu+zfg1o3awNA1y3rsNUXnSiCcKlqxk3wbg9gScCLwc+APwj8NIVYvouCF1ybB0zo3Vrvd1msI/0FjeEHB3mZzv0+T7vs34NaN16295DqQ1DWLeuwxBuY/D1JMcl2aUZjgO+Pq24qroFuAr4InAd8ADg0SuE9XrJZZccO65X5xzXENdlu/W6j/QcN4QcNd4Q6hf0eKl51xyHsG5YGyYVN4z6Na3ObFIDcH/gHGAHo+8038Xo94mmFXcVo8O2L2R0GHe1n1h+GvhPwBmM3uAfnlZclxy7rtcM1q31dpvBPtJb3BBydJif7dD3+7yv+jWgdbM2DHDdug5zfxVe3zpeMdD3ZaF9XtUwiMtJJfX7Pu+zfq0xrrd108Yytw1UklctN72qnjvJuAXx+zP6iYBHNqP+Cfi9qrpmmZi+C0KXHFvHrDHHVnFdtlvf+0ifcUPIUeMNqX41cX1+KOua49yum7VhMnFDq1/zfCfyX2N0+ehewM09xO30RuDNwK83z49rxh25TMx9M7rVf6s39hriuuTYJWYtObaN67Ld+t5H+owbQo4ab0j1C7q9z/usX2uJ62PdrA2TiRtW/ZrWd4NrHYDLgfsCn2j+UfZeOEw6bkH8pasZt2h635eFdsmxdUyf69Zlu/W9j/QZN4QcHZbd/wdTv5p5+rzUvGuOc7tu1oZhrttah3k+AvU64HzgJ4CLFowPUM34Scbt9PXmzP0zm+fHsvJZ/Jur6o0Lnp+a5HkrxKwlrkuOXWLWkmPbuC7bre99pM+4IeSo8YZUv6Db+7zP+rWWuD7Wzdowmbhh1a9pdWaTGoDX9hzX5YqB8xkdTt6lGY4Dzl/FsrrG9XlVQ9/r1nq7zWAf6S1uCDk6zM926PN93mf9GtC6WRsGuG5dh7k9iXxIktyf0cmNhzPqdv8ZeG5VfXkacX1az+smaaTL+3Uo7/H1vG6aLRuoxhCuQurzqgZJwzGE9/nQrrCSVjLP50D1rfVZ/DMoCL1d1WCxkwalt/d5z/Wrc5wfODVtNlD/5puMrrx4H/AYRiefraTXgtAxxy4xa8mxa5yk7vp8n/dZv9YS1+e6aQOygfo3Xc7i77sg9HlVQ9/rJqm7Pt/nfdavtcT1uW7agDwHapEkr62qZ61y3ucCz2L0Br524SSgqmrJN3bXuC45do2Z1bpJ6q6P9/ks6leXuFmsmzYWG6gJ6KsgzMJ6XjdJI318KJuV9bxumi0bKEmSpJbuMusEJEmShsYGSpIkqSUbKEmSpJZsoCRJklr6/wHefo5mL26mNQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_data_num(path='./data/train/'):\n",
    "    data_dict = {}\n",
    "    classes_list = os.listdir(path)\n",
    "    for i in range(len(classes_list)):\n",
    "        num = len(os.listdir(path+'/'+classes_list[i]))\n",
    "        data_dict[classes_list[i]] = num\n",
    "    return data_dict\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.subplot(1, 2, 1)\n",
    "train_classes = list(get_data_num().keys())\n",
    "train_num = list(get_data_num().values())\n",
    "plt.bar(train_classes, train_num)\n",
    "plt.xticks(rotation=90)\n",
    "plt.title('Train data')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "valid_classes = list(get_data_num('./data/test/').keys())\n",
    "valid_num = list(get_data_num('./data/test/').values())\n",
    "plt.bar(valid_classes, valid_num)\n",
    "plt.xticks(rotation=90)\n",
    "plt.title('Valid data')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 训练集和验证集数据分布\n",
    "\n",
    "- 分析训练集和验证集的图片大小分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 720x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_img_size(path='./data/train/'):\n",
    "    data_list = []\n",
    "    classes_list = os.listdir(path)\n",
    "    for i in range(len(classes_list)):\n",
    "        img_names = os.listdir(path+'/'+classes_list[i])\n",
    "        for j in range(len(img_names)):\n",
    "            img_path = path+classes_list[i]+'/'+img_names[j]\n",
    "            img_size = Image.open(img_path).size\n",
    "            # print(img_size)\n",
    "            # print(img_size)\n",
    "            data_list.append(img_size)\n",
    "    return data_list\n",
    "    # return data_dict\n",
    "\n",
    "train_img_size = get_img_size()\n",
    "train_img_w = list(map(lambda x:x[0], train_img_size))\n",
    "train_img_h = list(map(lambda x:x[1], train_img_size))\n",
    "valid_img_size = get_img_size('./data/test/')\n",
    "valid_img_w = list(map(lambda x:x[0], valid_img_size))\n",
    "valid_img_h = list(map(lambda x:x[1], valid_img_size))\n",
    "plt.figure(figsize=(10, 7))\n",
    "plt.subplot(2, 2, 1)\n",
    "sns.kdeplot(train_img_w, shade=True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('Train Image Width')\n",
    "\n",
    "plt.subplot(2, 2, 2)\n",
    "sns.kdeplot(train_img_h, shade=True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('Train Image Height')\n",
    "\n",
    "plt.subplot(2, 2, 3)\n",
    "sns.kdeplot(valid_img_w, shade=True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('Valid Image Width')\n",
    "\n",
    "plt.subplot(2, 2, 4)\n",
    "sns.kdeplot(valid_img_w, shade=True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('Valid Image Height')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\python\\anaconda\\anaconda\\envs\\torch1\\lib\\site-packages\\tqdm\\auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "OrderedDict([('module.stage0.reparam_conv.weight',\n",
       "              tensor([[[[ 1.2621e-02,  5.8361e-02, -6.1461e-02],\n",
       "                        [-9.2825e-02, -4.7429e-02,  9.0189e-02],\n",
       "                        [-2.1257e-02, -5.9573e-02,  2.4760e-02]],\n",
       "              \n",
       "                       [[ 3.4011e-02,  1.2710e-01, -1.0824e-01],\n",
       "                        [-1.6966e-01,  1.4750e-01,  1.5943e-01],\n",
       "                        [-3.0486e-02, -1.0136e-01,  3.3132e-02]],\n",
       "              \n",
       "                       [[ 1.4472e-02,  3.4735e-02, -4.0125e-02],\n",
       "                        [-4.8528e-02, -5.9488e-02,  4.8162e-02],\n",
       "                        [-4.3480e-03, -3.8916e-02,  1.0102e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.0722e-25, -6.4124e-25,  2.7767e-25],\n",
       "                        [-1.5414e-25, -7.8112e-25, -4.8942e-25],\n",
       "                        [ 4.2977e-25, -9.9402e-25, -2.7859e-25]],\n",
       "              \n",
       "                       [[-6.1120e-25, -4.1385e-25, -3.5574e-25],\n",
       "                        [-5.8170e-25, -9.5661e-25, -1.1647e-24],\n",
       "                        [-3.2843e-25, -1.5903e-24, -6.1164e-25]],\n",
       "              \n",
       "                       [[-1.3152e-25, -3.7757e-25,  2.7282e-25],\n",
       "                        [-5.4892e-25, -1.9076e-24, -6.0711e-25],\n",
       "                        [ 2.6971e-25, -5.5819e-25, -1.6498e-25]]],\n",
       "              \n",
       "              \n",
       "                      [[[-6.2540e-01,  1.1572e+00, -5.6710e-01],\n",
       "                        [ 1.2611e-01,  7.2176e-03, -1.1721e-01],\n",
       "                        [ 5.2199e-01, -1.1088e+00,  5.5032e-01]],\n",
       "              \n",
       "                       [[-1.0442e+00,  2.0852e+00, -9.0473e-01],\n",
       "                        [ 3.9659e-01, -1.1264e-01, -7.4185e-02],\n",
       "                        [ 1.0045e+00, -2.0556e+00,  1.1650e+00]],\n",
       "              \n",
       "                       [[-4.5512e-01,  5.8939e-01, -5.0217e-01],\n",
       "                        [ 3.2917e-02, -2.0984e-01, -1.2110e-01],\n",
       "                        [ 2.1844e-01, -6.7613e-01,  2.1036e-01]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 4.9650e-02,  5.9695e-02, -6.9276e-02],\n",
       "                        [ 4.2747e-02,  3.7073e-02, -1.4095e-01],\n",
       "                        [ 4.0552e-02,  4.0487e-02, -7.9772e-02]],\n",
       "              \n",
       "                       [[ 1.1479e-01,  1.1470e-01, -1.3657e-01],\n",
       "                        [ 1.0327e-01,  9.7245e-02, -2.8253e-01],\n",
       "                        [ 4.2838e-02,  3.9006e-02, -1.2791e-01]],\n",
       "              \n",
       "                       [[ 4.2234e-02,  3.4326e-02, -2.8991e-02],\n",
       "                        [ 4.3624e-02,  3.3684e-02, -7.3414e-02],\n",
       "                        [ 8.5077e-03,  1.3752e-02, -3.0773e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-8.4861e-03,  3.4964e-02,  2.0197e-04],\n",
       "                        [-1.3674e-01, -3.1120e-01, -1.8448e-01],\n",
       "                        [ 2.0580e-01,  2.8886e-01,  1.7272e-01]],\n",
       "              \n",
       "                       [[ 2.2315e-03,  6.0507e-02,  3.2814e-02],\n",
       "                        [-2.8575e-01, -6.9441e-01, -3.3944e-01],\n",
       "                        [ 3.4780e-01,  5.0528e-01,  2.8963e-01]],\n",
       "              \n",
       "                       [[-3.4029e-02,  2.1916e-03, -7.0766e-03],\n",
       "                        [-6.5129e-02, -1.7071e-01, -8.4486e-02],\n",
       "                        [ 1.0465e-01,  1.2768e-01,  8.0999e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 6.5291e-02, -4.3950e-02, -1.3089e-01],\n",
       "                        [-5.0488e-02,  3.6670e-01, -4.7078e-02],\n",
       "                        [-1.7702e-01, -1.0349e-02,  8.5800e-02]],\n",
       "              \n",
       "                       [[ 1.5559e-01, -5.4920e-02, -2.7653e-01],\n",
       "                        [-1.1214e-01,  5.6668e-01, -4.5142e-02],\n",
       "                        [-3.0216e-01, -3.6993e-02,  1.4800e-01]],\n",
       "              \n",
       "                       [[ 4.6938e-02, -2.0640e-02, -7.5341e-02],\n",
       "                        [-6.5118e-02,  1.8822e-01, -1.7605e-02],\n",
       "                        [-1.0031e-01, -2.2511e-02,  2.1283e-02]]]], device='cuda:0')),\n",
       "             ('module.stage0.reparam_conv.bias',\n",
       "              tensor([ 1.2720, -0.0040, -0.5668,  1.9229,  1.4001,  2.0815,  1.3793,  1.4599,\n",
       "                       0.8774,  1.4931, -0.0675,  1.3972, -0.2104,  1.4185,  0.0086, -0.0783,\n",
       "                       2.3452, -0.2110,  0.9704,  1.6783, -1.2926, -0.0541, -1.5261,  1.2873,\n",
       "                       1.2900,  2.3984, -0.0639,  1.2419,  1.5506, -2.9471, -0.0451,  1.3507,\n",
       "                       0.4500, -0.0971,  1.3790,  1.7199, -1.2665, -0.2158,  0.8021,  1.9606,\n",
       "                       1.3374,  1.5188, -0.0745,  1.8891,  1.4015,  1.0993,  1.0216,  0.8620],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage1.0.reparam_conv.weight',\n",
       "              tensor([[[[-9.7595e-01,  1.2234e+00,  4.1270e-02],\n",
       "                        [ 3.5661e-01, -6.8474e+00,  7.0554e+00],\n",
       "                        [-3.2365e-01,  9.1634e+00, -8.2645e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.3777e-24,  3.3487e-25, -4.4909e-25],\n",
       "                        [ 1.1219e-24,  9.0816e-25,  1.2800e-24],\n",
       "                        [ 8.0309e-25,  1.9178e-24,  3.4194e-25]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.6267e-02,  1.1626e-01,  8.1170e-02],\n",
       "                        [ 7.2937e-02,  5.5181e-01,  4.1014e-01],\n",
       "                        [ 6.6038e-02,  3.5364e-01,  3.7813e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-3.4932e-01, -3.0274e-01, -1.5517e-01],\n",
       "                        [ 3.4645e+00,  9.5773e-02, -3.0755e+00],\n",
       "                        [ 4.7921e+00,  4.9671e-01, -5.1485e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 2.3210e-02, -6.1566e-02,  2.5434e-02],\n",
       "                        [ 4.1614e-02,  7.2007e-03, -3.7793e-01],\n",
       "                        [-4.7508e-03, -2.2127e-01, -4.2728e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.4164e-01, -4.3576e-01,  1.0277e+00],\n",
       "                        [-1.5107e+00, -4.3168e+00,  5.4538e+00],\n",
       "                        [-7.1499e-01, -3.2259e+00,  3.7242e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-8.9175e-01,  1.0918e+00,  6.0635e-01],\n",
       "                        [ 4.4790e+00,  6.2578e+00, -9.7069e-01],\n",
       "                        [ 7.9684e-01, -1.2917e+00, -1.0779e+01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.4448e+00,  1.1234e-01,  1.6518e-02],\n",
       "                        [-1.5602e-01,  6.4023e+00, -5.4137e+00],\n",
       "                        [ 2.2467e-01, -6.1906e+00,  6.9105e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.6548e-01,  3.5480e-02,  3.3011e-01],\n",
       "                        [-9.2494e-02,  5.1306e-01, -2.0227e+00],\n",
       "                        [ 2.5296e-01,  6.0924e-02,  1.0989e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.1220e-01, -1.5577e-01, -6.3310e-01],\n",
       "                        [ 1.4986e-01,  1.5410e+00,  3.5190e-02],\n",
       "                        [-5.5491e-01,  5.0833e-01,  8.6721e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.4916e-24, -4.3299e-24,  3.8000e-24],\n",
       "                        [ 7.5307e-25,  5.9089e-24, -3.7963e-24],\n",
       "                        [-3.1223e-24, -7.1453e-24,  4.5362e-24]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.9884e-01, -4.3614e-02,  1.6793e-01],\n",
       "                        [ 6.1261e-01,  3.7761e+00, -9.3927e-01],\n",
       "                        [-3.0593e-01, -2.4776e+00,  8.4482e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.2429e-05, -2.0903e-05, -1.1574e-05],\n",
       "                        [-1.5230e-05, -4.6198e-06, -1.9860e-05],\n",
       "                        [-2.3788e-05, -1.2143e-05, -5.2926e-06]]],\n",
       "              \n",
       "              \n",
       "                      [[[-4.5327e-01,  2.3937e-01, -2.6893e-01],\n",
       "                        [-6.0571e+00,  5.4627e+00, -2.0331e-01],\n",
       "                        [-1.4993e+00,  2.8316e+00,  3.0079e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-9.5691e-23, -1.2614e-22, -3.5624e-23],\n",
       "                        [-1.2230e-22, -1.1431e-22, -1.5916e-22],\n",
       "                        [-8.9818e-23, -1.1999e-23, -4.4106e-23]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.6349e-24,  1.0605e-23, -2.7166e-23],\n",
       "                        [ 1.9299e-23,  1.7907e-22,  1.3366e-23],\n",
       "                        [-3.0262e-23,  2.4385e-23, -3.8120e-24]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.8538e-02, -7.6027e-01, -2.1130e+00],\n",
       "                        [-2.7309e-01, -3.4357e+00, -1.8369e+00],\n",
       "                        [ 8.6822e-02,  4.4851e+00,  4.0033e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.7736e-25, -4.5703e-24, -1.4788e-24],\n",
       "                        [ 9.1477e-24, -5.5725e-25, -4.2113e-24],\n",
       "                        [ 7.5544e-24, -2.8863e-24,  2.1372e-24]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 4.3948e-03, -5.3069e-02,  7.8084e-02],\n",
       "                        [ 1.4520e+00,  3.8082e-01, -1.9166e+00],\n",
       "                        [ 1.8102e+00,  6.0385e-01, -1.7827e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.5242e-01,  1.1987e-02,  3.1979e-01],\n",
       "                        [-1.0026e-01,  1.1858e-01, -3.7439e-01],\n",
       "                        [ 3.2828e-01, -2.6505e-01, -8.6090e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.0937e-02, -1.1704e-01, -2.6865e-01],\n",
       "                        [-2.5340e-01,  7.2095e-01,  6.8431e-01],\n",
       "                        [-6.0850e-01,  6.9409e-01,  7.9360e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.3578e-25, -1.5341e-24, -1.8828e-24],\n",
       "                        [-2.7259e-24, -9.8221e-25, -2.4174e-24],\n",
       "                        [ 4.6554e-24, -1.2859e-24,  1.8041e-24]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.2780e-02, -1.6110e-01, -2.2974e-01],\n",
       "                        [ 4.1448e-02,  6.0302e-01,  3.0710e-01],\n",
       "                        [-2.1832e-01,  6.0973e-01,  6.7811e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.6395e-01, -2.3036e-01, -7.7680e-02],\n",
       "                        [ 1.7364e-01, -2.3647e+00, -5.4245e-01],\n",
       "                        [ 5.7539e-02, -8.9507e-02,  6.6255e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.7509e-03, -2.0436e-01, -3.1270e-01],\n",
       "                        [-1.1916e-01,  7.5877e-01,  4.6246e-01],\n",
       "                        [-2.2386e-01,  5.6291e-01,  6.7007e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 7.7667e-02,  1.2528e+00, -1.5709e+00],\n",
       "                        [ 1.5752e-01, -5.2929e+00,  5.3913e+00],\n",
       "                        [ 2.3839e-02, -7.5185e+00,  7.4294e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.5783e-20,  5.4778e-21, -5.3890e-20],\n",
       "                        [-5.5469e-20, -2.2866e-20, -1.0898e-20],\n",
       "                        [-1.1121e-19,  2.4472e-21, -4.6842e-20]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.7429e-01,  4.7060e-01, -2.3421e-01],\n",
       "                        [-1.5131e-01, -2.8062e-01,  3.1319e+00],\n",
       "                        [-2.2460e-01, -1.5328e+00, -2.1299e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.1177e+00, -1.0393e+00,  2.4144e-01],\n",
       "                        [ 2.6462e+00, -2.8744e+00,  5.0137e-01],\n",
       "                        [ 1.2483e+00, -1.5260e+00, -2.5492e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-6.3838e-01, -4.0410e-01, -3.9556e-01],\n",
       "                        [-9.4887e-01,  2.3563e+00,  2.1509e+00],\n",
       "                        [-1.0807e+00,  1.2477e+00,  1.7881e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-8.2296e-25,  7.7406e-26, -2.2699e-24],\n",
       "                        [-1.3968e-25, -3.8452e-24,  2.9731e-24],\n",
       "                        [-9.2607e-25, -3.3947e-24, -1.3176e-25]]],\n",
       "              \n",
       "              \n",
       "                      [[[-4.8675e-01,  8.9946e-01, -3.4066e-01],\n",
       "                        [-1.5181e+00,  3.8216e+00, -2.4293e+00],\n",
       "                        [-7.1441e-01,  2.9762e+00, -3.0853e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 6.1756e-01, -4.8991e-01, -1.4236e+00],\n",
       "                        [ 1.2155e+00,  1.9056e-01, -4.1846e+00],\n",
       "                        [ 1.0822e+00,  1.0596e+00, -2.5471e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 5.1138e-23, -1.6685e-23, -3.5282e-23],\n",
       "                        [ 4.3944e-23,  1.9136e-22,  1.4681e-24],\n",
       "                        [ 6.0415e-23,  3.3512e-23, -5.3292e-23]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 4.2361e-01,  6.2359e-01, -3.4319e-01],\n",
       "                        [-8.1012e-01, -3.8081e+00,  9.3621e-01],\n",
       "                        [ 3.8087e-01,  1.0845e+00,  1.0301e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.7117e+00,  5.2524e+00,  3.0560e+00],\n",
       "                        [ 1.8706e+00,  6.4767e+00,  1.3288e+00],\n",
       "                        [-7.7848e-01, -3.4489e+00, -1.2177e+01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 6.6818e-02,  3.8990e-02,  8.9620e-02],\n",
       "                        [ 3.1907e-01,  2.0966e-01,  1.2753e-01],\n",
       "                        [ 3.0078e-01,  5.1542e-01,  2.1429e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-5.7840e-02, -1.3862e-01, -2.0711e-01],\n",
       "                        [-8.8190e-02,  2.9967e-01,  3.7644e-01],\n",
       "                        [-3.2187e-01,  3.8551e-01,  6.1491e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-6.6507e-02, -7.3302e-02,  1.8658e-01],\n",
       "                        [-2.5520e-01, -1.2107e+00,  1.4259e+00],\n",
       "                        [ 7.7160e-02, -1.7183e+00,  1.3898e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.8590e-02,  1.8505e-01,  2.4005e-01],\n",
       "                        [ 1.5350e-01, -3.0899e-01, -2.9975e-01],\n",
       "                        [ 2.5657e-01, -4.1938e-01, -5.1965e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.8819e-01,  2.7343e-01,  3.0561e-01],\n",
       "                        [-3.7964e-01,  6.2034e+00, -5.5600e+00],\n",
       "                        [-2.8023e-02, -5.8813e+00,  5.7745e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 2.5336e+00, -2.9909e+00,  5.6877e-01],\n",
       "                        [ 4.6454e+00, -5.7933e+00,  1.6747e+00],\n",
       "                        [ 9.4408e-01, -1.0732e+00, -6.8134e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-5.8632e-23, -1.2106e-22, -1.3146e-22],\n",
       "                        [-4.0909e-23,  2.6183e-23,  1.9940e-23],\n",
       "                        [-3.2078e-23,  9.7492e-23,  9.5088e-23]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.9390e-01, -2.8827e+00, -4.8217e+00],\n",
       "                        [ 2.1687e+00,  1.4546e+01,  6.5839e+00],\n",
       "                        [-3.0431e+00, -3.0056e+00, -3.3459e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[-7.5487e-03, -6.4917e-02, -2.5098e-01],\n",
       "                        [-1.2039e-01,  4.4558e-01,  3.3689e-01],\n",
       "                        [-2.5901e-01,  4.6933e-01,  5.8602e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.9967e-02, -1.3764e+00,  4.2225e-01],\n",
       "                        [ 9.8763e-01, -5.4398e+00,  4.3948e+00],\n",
       "                        [-9.4271e-01,  6.2179e+00, -4.4117e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 4.2853e-02, -1.5409e+00, -1.6977e+00],\n",
       "                        [-5.6522e-02,  1.0103e+00,  6.9370e-01],\n",
       "                        [-2.3571e-01,  6.6847e-01,  7.2031e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 7.8395e-01, -5.6380e-01, -8.6242e-02],\n",
       "                        [-3.1145e-01,  4.0706e+00, -4.1052e+00],\n",
       "                        [ 1.3840e-01, -4.2829e+00,  4.4739e+00]]]], device='cuda:0')),\n",
       "             ('module.stage1.0.reparam_conv.bias',\n",
       "              tensor([-2.3087e+00, -8.5594e-02,  3.3187e-01,  1.4417e+00,  1.4819e+00,\n",
       "                       1.1176e+00,  2.1474e+00,  5.8733e+00,  5.4867e+00,  1.0668e-02,\n",
       "                      -2.7014e-02,  4.8846e+00, -4.4955e-03, -2.3129e+00, -7.6323e-02,\n",
       "                      -9.2429e-02,  3.0797e+00,  7.0903e-02,  2.5455e+00,  5.4869e+00,\n",
       "                       1.3717e-02,  6.9665e-02, -9.4290e-02,  2.5958e+00,  9.6456e-01,\n",
       "                       2.3889e+00,  1.6205e-02,  7.5040e+00, -5.3294e-01, -5.0357e-03,\n",
       "                      -8.0490e-02,  1.1012e+00,  1.8813e+00, -8.3284e-02,  3.1552e+00,\n",
       "                       1.1341e+00,  1.4168e-01,  1.1353e-01,  3.7789e+00,  7.9577e+00,\n",
       "                      -8.6138e-01,  2.2581e-01, -2.3103e-02, -1.5975e+01, -7.7561e-01,\n",
       "                       2.6478e-01,  4.1761e+00, -1.8887e-01], device='cuda:0')),\n",
       "             ('module.stage1.1.reparam_conv.weight',\n",
       "              tensor([[[[-9.9196e-02]],\n",
       "              \n",
       "                       [[-1.8745e-27]],\n",
       "              \n",
       "                       [[-7.1773e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-7.0170e-02]],\n",
       "              \n",
       "                       [[ 6.3752e-01]],\n",
       "              \n",
       "                       [[-4.0021e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.4029e-03]],\n",
       "              \n",
       "                       [[ 1.4720e-23]],\n",
       "              \n",
       "                       [[-9.5991e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-3.3781e-04]],\n",
       "              \n",
       "                       [[-2.6029e-04]],\n",
       "              \n",
       "                       [[ 4.9504e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.0691e-02]],\n",
       "              \n",
       "                       [[ 1.0629e-26]],\n",
       "              \n",
       "                       [[-9.2213e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-8.1493e-02]],\n",
       "              \n",
       "                       [[-1.4065e-01]],\n",
       "              \n",
       "                       [[ 1.2794e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 5.9249e-02]],\n",
       "              \n",
       "                       [[ 4.9323e-27]],\n",
       "              \n",
       "                       [[ 3.6298e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-3.3872e-02]],\n",
       "              \n",
       "                       [[ 6.1097e-02]],\n",
       "              \n",
       "                       [[ 3.4554e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-6.8267e-03]],\n",
       "              \n",
       "                       [[-7.4339e-27]],\n",
       "              \n",
       "                       [[ 2.5288e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 8.6306e-03]],\n",
       "              \n",
       "                       [[ 1.3398e-02]],\n",
       "              \n",
       "                       [[ 2.5420e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.5732e-01]],\n",
       "              \n",
       "                       [[ 2.4732e-26]],\n",
       "              \n",
       "                       [[ 3.6206e-01]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 2.1419e-01]],\n",
       "              \n",
       "                       [[ 9.5928e-02]],\n",
       "              \n",
       "                       [[ 2.4696e-01]]]], device='cuda:0')),\n",
       "             ('module.stage1.1.reparam_conv.bias',\n",
       "              tensor([ 3.4117,  0.1290,  2.9178, -3.7329,  2.0953,  2.5035,  5.7802, -0.6299,\n",
       "                      -0.5071, -0.1203, -1.8873,  6.0955,  9.9313,  5.7437, -4.6311,  1.5307,\n",
       "                       1.5993, -0.5482,  4.1360,  3.0677,  4.0298,  1.9642,  0.5523,  1.3715,\n",
       "                      22.3925, -8.5827,  4.4943,  0.3998, -0.0362,  5.2949,  0.4171,  2.6210,\n",
       "                       3.1621,  7.6323, -1.0051,  3.5693,  1.1475, -1.9950,  1.9046,  1.6711,\n",
       "                      -2.4378,  6.0861, -0.1726,  4.4170,  1.6744,  3.9176,  0.7583, -1.2345],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage1.2.reparam_conv.weight',\n",
       "              tensor([[[[-6.1755e-02, -3.1964e-01, -1.2289e-01],\n",
       "                        [ 5.2730e-02,  1.7409e+00,  1.6752e-01],\n",
       "                        [-4.9750e-02, -3.1706e-01, -7.2579e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.0652e-03, -6.0685e-02,  1.5555e-02],\n",
       "                        [-4.5221e-02, -2.3199e+00, -2.0733e-02],\n",
       "                        [ 2.4866e-02, -2.1010e-02,  1.5674e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.5567e-01, -1.6189e-01,  5.9636e-02],\n",
       "                        [ 3.8835e-01,  1.8617e+00, -2.3571e+00],\n",
       "                        [-1.2523e-01, -5.3346e-01,  7.8208e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.5921e-02, -3.5657e-02, -1.9473e-02],\n",
       "                        [-1.3791e-02,  1.3492e+00,  3.4837e-02],\n",
       "                        [-1.3502e-02,  2.0587e-02,  1.4708e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 9.5516e-02,  1.7955e+00, -2.3539e+00],\n",
       "                        [ 1.6845e-01, -2.3255e+00,  2.2497e+00],\n",
       "                        [-1.3005e-01, -4.3090e-01,  1.6956e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 6.3661e-02, -6.4943e-01,  1.6265e-01],\n",
       "                        [ 2.6470e-01, -2.8813e+00,  2.2865e-01],\n",
       "                        [-4.5800e-01,  3.2780e+00, -7.9006e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.0973e-01,  3.8761e-01,  7.4020e-02],\n",
       "                        [ 5.7104e-02, -1.8783e+00, -2.1590e-01],\n",
       "                        [-4.9030e-02,  1.0341e+00,  4.0042e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 5.2837e-03, -6.6050e-01, -2.2131e-02],\n",
       "                        [-3.6996e-01,  1.5207e+00, -1.0997e-01],\n",
       "                        [-2.0328e-01, -4.4214e-01, -8.7698e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.1118e-01, -1.8862e-01, -2.0848e-01],\n",
       "                        [-1.4897e-01,  1.7671e+00, -2.7471e-01],\n",
       "                        [-1.3362e-01, -1.6490e-01, -8.1471e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-4.7467e-03, -4.3947e-02, -1.0361e-02],\n",
       "                        [-1.8863e-02,  5.9410e-01,  6.3082e-03],\n",
       "                        [-1.8827e-02, -3.9247e-02,  7.4605e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.7187e-02, -9.9978e-02, -8.0451e-02],\n",
       "                        [-2.6925e-01,  2.3077e+00,  6.3764e-02],\n",
       "                        [-1.1101e-01, -1.4850e-01,  5.9348e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-9.1479e-02,  9.6330e-02, -6.3169e-02],\n",
       "                        [ 1.8538e-01, -4.2892e+00,  5.9725e-01],\n",
       "                        [-2.7832e-02,  3.4645e-01, -1.1968e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-5.0867e-02, -2.9118e-01,  6.7053e-02],\n",
       "                        [-2.6367e-01,  1.4515e+00, -2.0026e-01],\n",
       "                        [-1.5708e-02, -2.9808e-01,  4.1510e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 4.6120e-03,  1.1866e-02, -1.2070e-02],\n",
       "                        [ 7.1640e-03,  2.9235e-01,  4.0987e-03],\n",
       "                        [-1.7504e-02,  6.6814e-03, -5.8008e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[-6.8890e-03,  4.0191e-03,  7.3106e-03],\n",
       "                        [ 1.6673e-01, -9.9818e-01,  1.9654e-02],\n",
       "                        [-2.4172e-02,  1.5883e-02, -1.4747e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.0205e-01, -3.1674e-01, -7.2138e-03],\n",
       "                        [-2.7652e-02,  1.1811e+00, -3.0003e-02],\n",
       "                        [-4.3102e-02, -1.8344e-01, -4.2055e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 4.8325e-02,  2.6422e-01, -1.3323e-01],\n",
       "                        [ 2.3613e-01, -1.2187e+00, -4.4113e-02],\n",
       "                        [ 5.5210e-03, -1.0272e-01,  2.3091e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.0776e-01,  1.2970e-01,  7.5350e-02],\n",
       "                        [ 8.3504e-02, -1.8796e+00,  3.9802e-01],\n",
       "                        [ 1.6626e-01,  2.3133e-01,  1.4753e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.2375e-02, -2.5509e-01,  1.2336e-01],\n",
       "                        [ 9.8584e-02, -1.7179e+00,  1.4403e+00],\n",
       "                        [-1.0650e-02, -1.8911e-01,  3.1110e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-7.2453e-03,  2.1119e-01, -1.6163e-01],\n",
       "                        [-1.2551e-01, -1.5197e+00,  1.6526e+00],\n",
       "                        [ 3.3015e-02,  7.8771e-01, -7.9211e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.0481e-01, -3.5753e-01, -8.2279e-02],\n",
       "                        [-3.8859e-01,  1.4726e+00,  2.3360e-02],\n",
       "                        [-3.8587e-02, -1.4005e-01, -2.1983e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 9.2962e-02, -4.9225e-01,  6.2865e-02],\n",
       "                        [-1.0096e-01,  1.6341e+00,  3.8217e-02],\n",
       "                        [-3.4645e-02, -5.4319e-01,  1.3106e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 2.9409e-02, -8.6256e-01,  1.0450e+00],\n",
       "                        [-5.2801e-01, -2.8288e+00,  2.8975e+00],\n",
       "                        [ 4.2744e-01, -2.3037e-01, -8.2257e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.8361e-02,  3.2849e-01, -1.1744e-01],\n",
       "                        [-7.0282e-01,  2.3960e+00, -1.6212e+00],\n",
       "                        [ 1.4193e-01,  1.9706e-02, -1.4505e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-4.8765e-02, -1.1739e-01, -5.6169e-03],\n",
       "                        [-8.0842e-02,  1.2854e+00, -3.4642e-02],\n",
       "                        [-2.4977e-02, -1.4722e-02,  2.7024e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.9120e-03, -5.9800e-03, -1.5348e-03],\n",
       "                        [-4.1242e-03,  2.3647e-01, -3.9376e-03],\n",
       "                        [ 1.1126e-03, -8.4509e-03,  1.5717e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.8584e-02,  2.1815e-01, -6.6250e-02],\n",
       "                        [-6.3722e-01,  1.5187e+00, -5.4836e-01],\n",
       "                        [-1.2004e-01,  1.5793e-01, -1.7707e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 2.9577e-02, -4.6554e-01,  1.1807e-01],\n",
       "                        [-3.7400e-01, -2.9020e+00, -4.0973e-02],\n",
       "                        [ 1.4904e-01,  3.1930e+00,  4.4367e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 7.2365e-03, -1.3571e-01, -8.8652e-02],\n",
       "                        [-1.2075e-01,  1.2296e+00,  4.1449e-01],\n",
       "                        [-2.6015e-02,  1.7881e-01,  6.9264e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 4.8825e-02,  9.6435e-02, -3.5759e-02],\n",
       "                        [ 1.7904e-03, -1.6539e+00,  2.0178e-02],\n",
       "                        [ 6.1578e-02, -5.2256e-02,  2.7747e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.5926e-01,  2.0160e-01, -1.4006e-01],\n",
       "                        [-2.3151e-01,  2.2192e+00, -1.3206e+00],\n",
       "                        [ 8.1057e-03, -2.1939e+00,  1.4812e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 4.0506e-02, -1.5765e-02, -3.0552e-02],\n",
       "                        [-1.3605e-03, -9.4167e-01, -4.5686e-02],\n",
       "                        [ 1.5863e-02, -5.7869e-02, -5.9359e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 2.8323e-02,  2.0500e-01, -7.5336e-02],\n",
       "                        [ 4.9582e-01, -3.7135e+00,  3.0604e-01],\n",
       "                        [-3.7900e-02,  1.5921e-01, -1.6800e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 6.1763e-03, -7.5667e-02, -2.3716e-02],\n",
       "                        [ 9.6401e-02,  2.0367e+00,  4.5614e-02],\n",
       "                        [ 3.7514e-02, -5.2510e-03,  1.0766e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.8208e-02, -2.8316e-01,  1.1879e-01],\n",
       "                        [ 3.9477e-01,  1.4830e+00,  1.6881e-02],\n",
       "                        [-3.6407e-01, -1.1386e+00, -1.4635e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.8836e-02, -4.2790e-01, -2.1818e-01],\n",
       "                        [-1.2296e-01,  1.0163e+00,  9.8288e-02],\n",
       "                        [-2.9183e-01,  3.8271e-01,  4.5021e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.7739e-02, -5.8966e-01,  1.8555e-01],\n",
       "                        [-2.1110e-01,  9.6688e-01,  2.3067e-01],\n",
       "                        [ 3.0891e-02,  1.6205e-01, -2.2157e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 8.4081e-03, -1.0253e-02, -2.1771e-02],\n",
       "                        [-6.8302e-03, -5.0873e-01, -8.4387e-03],\n",
       "                        [ 5.8600e-03, -2.6383e-02, -1.5012e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-8.2301e-02, -4.3027e-01, -4.5385e-02],\n",
       "                        [-3.3619e-01,  4.0523e+00, -8.4135e-02],\n",
       "                        [-2.3333e-01,  1.3646e-01,  3.6071e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-7.7103e-02, -3.4904e-01, -5.0319e-02],\n",
       "                        [-5.1504e-02,  1.2572e+00,  1.4881e-01],\n",
       "                        [-7.7494e-02, -1.6088e-01, -5.3168e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.4543e-02, -2.8643e-02, -3.4973e-02],\n",
       "                        [-4.7123e-05,  1.7920e+00,  7.7477e-02],\n",
       "                        [-3.5319e-02,  5.6573e-02, -4.5390e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-9.7864e-02, -7.3363e-01, -5.3461e-02],\n",
       "                        [ 5.9156e-02,  1.7282e+00,  2.0662e-01],\n",
       "                        [-8.3747e-02, -6.4161e-01, -9.6041e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-8.0067e-01, -7.2777e-01,  5.4044e-03],\n",
       "                        [ 1.2253e-01,  4.8837e+00, -4.1734e+00],\n",
       "                        [-3.4593e-01, -2.5394e+00,  3.8294e+00]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 9.3646e-02, -4.1724e-01, -1.2916e-01],\n",
       "                        [ 6.6291e-02,  1.7594e+00,  3.2346e-02],\n",
       "                        [ 1.9653e-02, -1.1406e+00, -1.1236e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.1138e-01, -1.0100e-01, -4.1247e-03],\n",
       "                        [ 1.1262e-01, -1.8195e+00,  1.7798e+00],\n",
       "                        [ 1.5275e-02, -4.0763e-01,  1.8980e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.7261e-01,  2.4752e-01, -4.1833e-01],\n",
       "                        [-1.3962e-01, -3.0109e-02,  1.4106e+00],\n",
       "                        [ 8.5074e-02,  1.8684e-01, -2.0128e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.1448e-01,  3.5081e-01, -1.6458e-01],\n",
       "                        [ 2.1625e-01,  1.8330e+00, -9.8310e-02],\n",
       "                        [-1.0888e-01, -2.5460e-01, -5.2699e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.6308e-01, -6.8649e-01,  3.4452e-03],\n",
       "                        [-6.6794e-01,  2.2213e+00, -5.8798e-01],\n",
       "                        [-1.4045e-02, -6.5564e-01,  2.0902e-01]]]], device='cuda:0')),\n",
       "             ('module.stage1.2.reparam_conv.bias',\n",
       "              tensor([-0.6631,  8.2771,  2.6521, -1.8727,  2.2030,  1.3631,  0.6300,  0.3113,\n",
       "                      -0.1828,  0.1987, -1.2568,  6.8446,  2.6520, -0.0138,  7.5148,  1.9643,\n",
       "                       4.9701,  0.4011,  0.1852,  0.0887,  2.0358, -0.4880,  2.7837, -0.6883,\n",
       "                      -1.3922,  0.1702, -0.6251,  2.2225,  1.2725,  4.9269,  0.2963,  9.1935,\n",
       "                       6.5100, -1.6297, -0.2272, -0.1531,  1.6084,  8.6802, -2.5314,  1.0167,\n",
       "                      -1.8818, -0.3616,  2.3884, -0.1956,  0.1499,  0.4352, -2.8115,  4.5413],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage1.3.reparam_conv.weight',\n",
       "              tensor([[[[ 0.0425]],\n",
       "              \n",
       "                       [[-0.1094]],\n",
       "              \n",
       "                       [[ 0.0480]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0794]],\n",
       "              \n",
       "                       [[-0.1065]],\n",
       "              \n",
       "                       [[-0.0049]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1787]],\n",
       "              \n",
       "                       [[ 0.0396]],\n",
       "              \n",
       "                       [[-0.0052]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0177]],\n",
       "              \n",
       "                       [[ 0.0812]],\n",
       "              \n",
       "                       [[ 0.0200]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0956]],\n",
       "              \n",
       "                       [[ 0.0701]],\n",
       "              \n",
       "                       [[ 0.0032]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0044]],\n",
       "              \n",
       "                       [[ 0.0382]],\n",
       "              \n",
       "                       [[ 0.0696]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.1228]],\n",
       "              \n",
       "                       [[-0.0015]],\n",
       "              \n",
       "                       [[ 0.2501]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.1019]],\n",
       "              \n",
       "                       [[ 0.0263]],\n",
       "              \n",
       "                       [[-0.0306]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0364]],\n",
       "              \n",
       "                       [[-0.0244]],\n",
       "              \n",
       "                       [[ 0.0954]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0575]],\n",
       "              \n",
       "                       [[-0.4726]],\n",
       "              \n",
       "                       [[ 0.0234]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0145]],\n",
       "              \n",
       "                       [[-1.3352]],\n",
       "              \n",
       "                       [[-0.0290]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0201]],\n",
       "              \n",
       "                       [[-0.1391]],\n",
       "              \n",
       "                       [[ 0.0067]]]], device='cuda:0')),\n",
       "             ('module.stage1.3.reparam_conv.bias',\n",
       "              tensor([-2.2246e-01,  2.0783e+00,  6.3451e-01, -5.1786e+00, -9.0772e-01,\n",
       "                      -1.9333e+00,  1.0430e+01, -1.7365e+00,  1.7898e+00, -3.2024e-01,\n",
       "                      -2.9197e-03,  1.0096e+00,  4.6912e-01, -1.6235e-01,  1.8295e+00,\n",
       "                       4.3145e+00,  2.8407e-03,  9.9521e-01,  1.3145e+00,  2.5245e+00,\n",
       "                      -4.5935e+00,  7.1433e-01,  1.0269e+00, -1.8752e+00,  1.8642e-01,\n",
       "                      -1.2344e-02,  1.6186e+00, -1.6157e+00,  2.1308e+00, -1.8355e+00,\n",
       "                       5.4131e+00,  6.4330e+00,  4.0055e-01,  2.0891e+00,  9.8520e+00,\n",
       "                      -5.2986e+00, -9.7895e-01, -8.9305e+00,  9.3412e-01,  3.7489e-01,\n",
       "                       2.0932e+00,  3.7013e+00,  2.9274e+00, -2.4695e+00, -3.2445e+00,\n",
       "                       6.2706e+00,  6.0176e+00,  7.9009e+00], device='cuda:0')),\n",
       "             ('module.stage2.0.reparam_conv.weight',\n",
       "              tensor([[[[ 0.0240,  0.1050,  0.0524],\n",
       "                        [ 0.1296,  0.3680,  0.1242],\n",
       "                        [ 0.1153,  0.2286,  0.1021]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0213, -0.2368,  0.2845],\n",
       "                        [ 0.0136, -0.5593,  0.6467],\n",
       "                        [ 0.0303, -0.5310,  0.4449]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0818, -0.0393,  0.0735],\n",
       "                        [-0.1459, -0.3417, -0.3535],\n",
       "                        [ 0.2378,  0.7592,  0.5405]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0226,  0.0488,  0.0415],\n",
       "                        [ 0.0420, -0.4500,  0.0681],\n",
       "                        [ 0.0363,  0.0595,  0.0392]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0720,  0.1712,  0.1008],\n",
       "                        [ 0.1392,  0.6114,  0.2725],\n",
       "                        [ 0.1225,  0.3132,  0.1750]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0373,  0.1064,  0.0816],\n",
       "                        [ 0.1041,  0.4077,  0.1885],\n",
       "                        [ 0.1114,  0.2082,  0.1294]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0196,  0.0783,  0.0723],\n",
       "                        [ 0.1155,  0.4041,  0.2333],\n",
       "                        [ 0.2099,  0.3263,  0.2299]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0285,  0.1558,  0.0973],\n",
       "                        [ 0.3375,  0.9894,  0.6620],\n",
       "                        [-0.3598, -1.1434, -0.7846]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.2722, -0.3750, -0.3031],\n",
       "                        [-0.2080, -0.6488, -0.5662],\n",
       "                        [-0.1442, -0.4258, -0.2284]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0592,  0.1348,  0.1730],\n",
       "                        [ 0.1791,  0.2543,  0.3192],\n",
       "                        [ 0.0881,  0.2465,  0.2097]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0919,  0.1197,  0.0856],\n",
       "                        [ 0.1712,  0.2290,  0.1655],\n",
       "                        [ 0.0591,  0.2091,  0.1444]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0977, -0.3135, -0.3455],\n",
       "                        [-0.1788, -0.4387, -0.5636],\n",
       "                        [-0.0196, -0.4000, -0.4786]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1398, -0.2552, -0.1474],\n",
       "                        [-0.2974, -0.5370, -0.2738],\n",
       "                        [-0.2158, -0.2904, -0.2143]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0676,  0.1310,  0.0618],\n",
       "                        [ 0.1130,  0.4612,  0.3012],\n",
       "                        [ 0.0908,  0.2152,  0.2066]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0407, -0.1520, -0.2079],\n",
       "                        [-0.1894, -0.4491, -0.3412],\n",
       "                        [-0.0943, -0.3744, -0.2832]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0910, -0.1540, -0.0740],\n",
       "                        [-0.2756, -0.2365, -0.1000],\n",
       "                        [-0.2087, -0.3397, -0.1171]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0914, -0.1298, -0.0219],\n",
       "                        [-0.1138, -0.2969, -0.1186],\n",
       "                        [-0.0686, -0.1882, -0.1416]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1620,  0.4644, -0.4792],\n",
       "                        [-0.0419,  0.4655, -1.5498],\n",
       "                        [ 0.0999,  0.5163, -1.2755]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0369,  0.0885,  0.0822],\n",
       "                        [ 0.0809,  0.3227,  0.2258],\n",
       "                        [ 0.0241,  0.2073,  0.2076]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0371,  0.1179,  0.0425],\n",
       "                        [ 0.1387,  0.2601,  0.1879],\n",
       "                        [ 0.0764,  0.2672,  0.1966]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1346, -0.1846, -0.0614],\n",
       "                        [-0.2102, -0.2509, -0.1956],\n",
       "                        [-0.1341, -0.2503, -0.2354]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0573, -0.2968, -0.2062],\n",
       "                        [-0.1100, -0.4938, -0.4346],\n",
       "                        [-0.1276, -0.3523, -0.2823]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0263,  0.2008,  0.2273],\n",
       "                        [ 0.3683,  1.0684,  0.7184],\n",
       "                        [-0.3096, -0.9507, -0.5834]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1281,  0.2136,  0.0399],\n",
       "                        [ 0.2021,  0.2114,  0.2099],\n",
       "                        [ 0.1353,  0.2310,  0.2424]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0598, -0.3101,  0.3314],\n",
       "                        [ 0.1688, -0.6624,  0.6920],\n",
       "                        [ 0.0191, -0.4158,  0.4734]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0299,  0.1004,  0.0883],\n",
       "                        [ 0.0944,  0.4261,  0.1854],\n",
       "                        [ 0.0802,  0.1945,  0.1757]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.2013, -0.3656, -0.1177],\n",
       "                        [-0.3655, -0.7915, -0.4245],\n",
       "                        [-0.0580, -0.4778, -0.2905]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0952, -0.1838, -0.2612],\n",
       "                        [-0.1960, -0.4455, -0.5258],\n",
       "                        [-0.1344, -0.4451, -0.2804]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1236, -0.1656, -0.1434],\n",
       "                        [-0.2035, -0.3290, -0.3113],\n",
       "                        [-0.1589, -0.3853, -0.2866]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0612,  0.0872,  0.0417],\n",
       "                        [ 0.1343,  0.3231,  0.1485],\n",
       "                        [ 0.0998,  0.1834,  0.0978]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0765,  0.2318,  0.1037],\n",
       "                        [ 0.2312,  0.4256,  0.4595],\n",
       "                        [ 0.1198,  0.4068,  0.3656]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1756,  0.4197,  0.3543],\n",
       "                        [ 0.2600,  0.5202,  0.5605],\n",
       "                        [ 0.1375,  0.4684,  0.3979]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.2375, -0.0114, -0.0601],\n",
       "                        [-0.6985,  0.1048, -0.0458],\n",
       "                        [-0.5672, -0.0783,  0.0248]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0293,  0.0630,  0.0743],\n",
       "                        [ 0.1124,  0.3570,  0.2887],\n",
       "                        [ 0.0375,  0.2857,  0.2282]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0661, -0.0804, -0.0248],\n",
       "                        [-0.0879, -0.5579, -0.4479],\n",
       "                        [-0.1714, -0.5132, -0.3606]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0195,  0.1217,  0.1010],\n",
       "                        [ 0.0995,  0.3212,  0.1951],\n",
       "                        [ 0.0400,  0.1923,  0.1272]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0055, -0.1226, -0.0799],\n",
       "                        [-0.1355, -0.3175, -0.1682],\n",
       "                        [-0.1026, -0.2809, -0.1366]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1195, -0.2386, -0.2064],\n",
       "                        [-0.1594, -0.6982, -0.3988],\n",
       "                        [-0.1642, -0.3721, -0.3749]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0063, -0.0262, -0.0514],\n",
       "                        [-0.1597, -0.4080, -0.3806],\n",
       "                        [ 0.2315,  0.6230,  0.5257]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0633, -0.1966, -0.1411],\n",
       "                        [-0.1559, -0.3553, -0.2799],\n",
       "                        [-0.1382, -0.3656, -0.2498]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1162, -0.2135, -0.1858],\n",
       "                        [-0.2384, -0.3825, -0.3513],\n",
       "                        [-0.2916, -0.3656, -0.2440]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.2664, -0.6615, -0.4203],\n",
       "                        [ 0.2709,  0.8077,  0.4423],\n",
       "                        [-0.1133, -0.3986, -0.1895]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0487, -0.1732, -0.1012],\n",
       "                        [-0.1285, -0.4340, -0.3220],\n",
       "                        [-0.0070, -0.0704, -0.0519]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0614,  0.1000,  0.0872],\n",
       "                        [ 0.1547,  0.3308,  0.3396],\n",
       "                        [ 0.1226,  0.3337,  0.1629]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1029, -0.3898, -0.3305],\n",
       "                        [-0.2191, -0.5546, -0.5022],\n",
       "                        [-0.0253, -0.2170, -0.1733]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0072,  0.0737,  0.1412],\n",
       "                        [ 0.0493,  0.2264,  0.1847],\n",
       "                        [ 0.1086,  0.1680,  0.0972]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0414, -0.1032, -0.0601],\n",
       "                        [ 0.0584,  0.1281,  0.1525],\n",
       "                        [ 0.1460,  0.4660,  0.3321]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0365,  0.1439,  0.0825],\n",
       "                        [ 0.0932,  0.4122,  0.1665],\n",
       "                        [ 0.0329,  0.1621,  0.0859]]]], device='cuda:0')),\n",
       "             ('module.stage2.0.reparam_conv.bias',\n",
       "              tensor([ 0.1084,  3.4597,  1.3761,  0.9801, -0.9096,  0.2012, -0.2177,  0.0408,\n",
       "                       3.4550, -0.2245,  0.1596,  2.6471, 12.0625, -0.0430,  4.4930,  4.2879,\n",
       "                       4.4245,  1.3508, -0.2675, -0.1889,  5.3538,  5.0458, -0.9198, -0.2652,\n",
       "                       1.5865,  0.3148,  2.1380,  5.2446,  9.4297, -0.0864, -2.2296,  0.0722,\n",
       "                       3.1132, -0.1146,  3.2441, -0.2489,  5.3259,  4.1608,  2.7348,  4.5898,\n",
       "                       4.2640,  0.5019,  3.6328, -0.2542,  2.9086, -0.1104,  0.3552, -0.3079],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage2.1.reparam_conv.weight',\n",
       "              tensor([[[[ 9.7381e-04]],\n",
       "              \n",
       "                       [[ 6.0167e-02]],\n",
       "              \n",
       "                       [[ 3.7437e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-5.3566e-02]],\n",
       "              \n",
       "                       [[-7.8165e-02]],\n",
       "              \n",
       "                       [[ 1.1518e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.1156e-02]],\n",
       "              \n",
       "                       [[ 1.5706e-02]],\n",
       "              \n",
       "                       [[ 5.2740e-04]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-9.5349e-03]],\n",
       "              \n",
       "                       [[-3.3470e-02]],\n",
       "              \n",
       "                       [[ 3.6796e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.1714e-02]],\n",
       "              \n",
       "                       [[ 2.0102e-02]],\n",
       "              \n",
       "                       [[ 1.0291e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 2.0180e-02]],\n",
       "              \n",
       "                       [[ 1.3392e-02]],\n",
       "              \n",
       "                       [[ 8.6705e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 3.5382e-01]],\n",
       "              \n",
       "                       [[ 1.3654e-02]],\n",
       "              \n",
       "                       [[-1.0902e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 2.8343e-02]],\n",
       "              \n",
       "                       [[ 2.7374e-02]],\n",
       "              \n",
       "                       [[-2.6985e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-5.1742e-02]],\n",
       "              \n",
       "                       [[-1.3908e-02]],\n",
       "              \n",
       "                       [[ 1.0182e-01]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-1.0690e-02]],\n",
       "              \n",
       "                       [[ 5.9482e-01]],\n",
       "              \n",
       "                       [[ 1.6607e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 7.0043e-03]],\n",
       "              \n",
       "                       [[-7.7153e-03]],\n",
       "              \n",
       "                       [[-1.3654e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 1.2857e-02]],\n",
       "              \n",
       "                       [[ 4.0701e-04]],\n",
       "              \n",
       "                       [[-7.9143e-03]]]], device='cuda:0')),\n",
       "             ('module.stage2.1.reparam_conv.bias',\n",
       "              tensor([ 1.1632e-01, -7.6027e-02, -1.3875e+00, -2.3059e-01,  2.3020e+00,\n",
       "                      -6.6644e-01,  1.5070e+00, -1.2601e+00,  3.0099e-01,  5.0977e-01,\n",
       "                       2.2171e-01,  3.6162e+00, -1.5540e+00,  8.3126e-01,  1.1531e+00,\n",
       "                       5.1729e-01,  4.6776e+00, -6.5468e-01,  6.3487e-01,  1.5743e+00,\n",
       "                       1.3535e+00,  1.1335e+00, -2.3219e+00,  1.5850e+00, -4.4738e+00,\n",
       "                       1.6138e+00, -1.8802e-01,  8.8117e-01, -3.7061e+00,  4.2899e+00,\n",
       "                      -1.3531e+00, -2.4166e+00,  1.7288e+00,  7.7012e-01,  3.0387e+00,\n",
       "                       5.3116e+00,  2.5368e+00,  6.3151e+00, -7.7685e-01,  1.4346e+00,\n",
       "                       1.0708e+00,  3.6295e+00,  7.0112e+00,  3.3304e+00, -9.2071e-01,\n",
       "                      -1.8656e+00,  3.4703e+00, -4.7879e-01,  2.4801e+00,  2.5057e+00,\n",
       "                       1.8676e-01,  5.0408e+00,  2.7508e+00,  9.7546e-01,  6.2728e+00,\n",
       "                       1.1439e+00,  2.3093e+00, -1.0484e-04,  3.7007e+00,  8.4184e-01,\n",
       "                      -8.4948e-01, -3.6622e-02,  2.3518e+00,  2.7856e+00, -3.9006e-01,\n",
       "                      -5.9641e+00, -4.6508e-01, -1.3110e+00,  3.8954e+00, -1.7458e+00,\n",
       "                       2.5394e+00,  6.3593e-01,  8.6038e-01,  1.9063e+00,  1.2009e+00,\n",
       "                       1.1081e+00, -1.7072e-01, -4.8940e-01,  2.9065e+00, -1.5152e-02,\n",
       "                       2.5672e+00,  5.1566e+00,  3.9185e+00,  2.0990e+00,  1.3681e+00,\n",
       "                      -3.9382e-01,  1.3383e+00,  3.5976e-01, -4.2618e-01, -1.0815e+00,\n",
       "                       8.1208e-01, -2.5917e-01,  4.1283e-01, -5.7527e-01,  1.8254e+00,\n",
       "                       2.3414e+00, -6.0268e-01,  2.1323e+00, -4.6881e-01,  2.9609e+00,\n",
       "                       2.1007e+00,  1.2756e+00,  5.4008e-01, -2.5400e-01,  5.6949e+00,\n",
       "                       2.5127e+00,  2.2608e+00,  1.3878e+00,  1.0898e+00,  7.1862e-01,\n",
       "                       1.5653e-01,  1.1872e+00,  5.9177e-01,  8.3933e-02, -1.0171e+00,\n",
       "                      -2.4813e-01,  1.6464e+00, -2.5472e-01, -1.6504e-01,  1.1482e+00,\n",
       "                      -1.1927e+00,  2.1268e-01,  3.6474e-01, -1.0251e+00, -4.1075e+00,\n",
       "                      -1.8004e+00,  8.8118e-01,  1.4898e+00], device='cuda:0')),\n",
       "             ('module.stage2.2.reparam_conv.weight',\n",
       "              tensor([[[[-0.1403, -0.5041, -0.2572],\n",
       "                        [-0.0373,  2.2467, -0.0940],\n",
       "                        [-0.1832, -0.3916, -0.1600]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.3145, -2.0850, -0.0766],\n",
       "                        [-0.1488, -1.9585,  0.0282],\n",
       "                        [ 0.1669,  3.9484,  0.1391]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0452, -0.2484,  0.5720],\n",
       "                        [-0.6456, -2.3522,  3.2827],\n",
       "                        [-0.2419, -0.2543,  0.1871]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0123,  0.0666, -0.0505],\n",
       "                        [ 0.3670,  1.6962,  0.3853],\n",
       "                        [-0.0181,  0.0803,  0.0513]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1311, -0.2865, -0.1082],\n",
       "                        [-0.1846,  2.0825, -0.1725],\n",
       "                        [-0.0552, -0.0987, -0.0509]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1701, -0.2133, -0.0911],\n",
       "                        [-0.3757,  5.2758, -0.1268],\n",
       "                        [ 0.0203,  0.0326, -0.0545]]]], device='cuda:0')),\n",
       "             ('module.stage2.2.reparam_conv.bias',\n",
       "              tensor([  1.1331,   1.2751,   0.3493,   1.4861,   1.3528,   1.1692,   0.8269,\n",
       "                        2.3625,  -0.0854,   1.2463,  -0.3217,   0.0295,  -0.5186,  -0.0796,\n",
       "                        0.9916,  -0.2367,   3.7507,  -0.3338,   0.3450,  -0.5039,   1.9441,\n",
       "                        1.9814,   2.7426,  -0.7379,   1.9941,   0.1662,  -0.9403,  -0.0358,\n",
       "                       -0.3062,   0.4816,  -0.1722,   1.1103,   0.8783,  -0.1464,   2.1384,\n",
       "                        0.2134,   0.7218,   1.8584,   2.2668,  -0.3990,   0.2872,   0.4247,\n",
       "                        3.5309,   1.7161,   0.3569,  -0.5912,   0.3703,  -0.0152, -10.4371,\n",
       "                       -2.5556,   3.5514,  -0.0244,   1.0702,   0.5214,   0.1720,  -0.3488,\n",
       "                        2.6073,   0.9529,   0.8560,  -0.1807,  -0.5406,   1.4948,  -1.7795,\n",
       "                        0.1458,  -0.3861,   4.4605,   1.4904,   1.2428,   0.9861,   1.5199,\n",
       "                        0.7663,   3.4697,  -0.1920,  -3.8318,  -0.0478,  -0.9338,  -0.1223,\n",
       "                        0.7706,  -0.8668,   2.1544,   1.1485,   2.4065,   1.4808,   2.4027,\n",
       "                        2.8612,  -1.0608,   0.8825,   5.5527,  -1.3697,  -0.6272,  -0.4385,\n",
       "                       -0.0356,  -0.0461,   0.2466,   0.9935,   1.9353,   0.5509,   0.4484,\n",
       "                        0.5207,  -0.6258,   0.0446,   0.1461,  -0.6762,   0.0453,  -0.7838,\n",
       "                       -0.6321,   0.1544,   2.8439,   1.5436,   0.3104,  -0.5317,   3.8209,\n",
       "                       -0.7884,   0.1798,   0.0952,   0.7595,  -0.1452,  -1.3318,   0.1712,\n",
       "                        1.0360,   2.0483,   1.7806,   0.6948,   0.0632,   0.4718,  -4.4642,\n",
       "                       -0.0317,  -1.2088], device='cuda:0')),\n",
       "             ('module.stage2.3.reparam_conv.weight',\n",
       "              tensor([[[[ 0.0352]],\n",
       "              \n",
       "                       [[-0.0211]],\n",
       "              \n",
       "                       [[-0.0419]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0269]],\n",
       "              \n",
       "                       [[ 0.1365]],\n",
       "              \n",
       "                       [[ 0.0343]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0302]],\n",
       "              \n",
       "                       [[-0.0426]],\n",
       "              \n",
       "                       [[ 0.0157]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0208]],\n",
       "              \n",
       "                       [[ 0.0979]],\n",
       "              \n",
       "                       [[-0.0048]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0870]],\n",
       "              \n",
       "                       [[ 0.0462]],\n",
       "              \n",
       "                       [[-0.0616]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.1227]],\n",
       "              \n",
       "                       [[-0.0722]],\n",
       "              \n",
       "                       [[-0.2084]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0024]],\n",
       "              \n",
       "                       [[-0.0177]],\n",
       "              \n",
       "                       [[-0.0197]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0191]],\n",
       "              \n",
       "                       [[ 0.0312]],\n",
       "              \n",
       "                       [[-0.0090]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0352]],\n",
       "              \n",
       "                       [[-0.0643]],\n",
       "              \n",
       "                       [[-0.0026]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0170]],\n",
       "              \n",
       "                       [[-0.0176]],\n",
       "              \n",
       "                       [[ 0.0719]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0728]],\n",
       "              \n",
       "                       [[-0.1253]],\n",
       "              \n",
       "                       [[ 0.0081]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0307]],\n",
       "              \n",
       "                       [[-0.0417]],\n",
       "              \n",
       "                       [[-0.0277]]]], device='cuda:0')),\n",
       "             ('module.stage2.3.reparam_conv.bias',\n",
       "              tensor([ 2.3402,  2.4261, -0.0487,  1.2567,  1.2795,  0.3312,  0.9333,  1.2004,\n",
       "                      -0.3635,  0.9558, -0.1084,  0.6520,  0.1814,  1.2008,  5.2348,  2.7896,\n",
       "                       1.5720, -0.9985, -2.5384, -1.4544,  0.7944,  1.6734,  1.9124,  0.3016,\n",
       "                       1.4386, -2.7773,  0.3753,  1.4398,  1.8561,  0.9845,  0.6964,  0.8743,\n",
       "                       0.5425, -0.9874,  1.8186, -0.4325,  1.6655,  1.1222,  0.2196,  2.9014,\n",
       "                       4.7643,  0.9736,  1.1608, -1.9533,  1.5824,  0.7897, -3.4032,  0.1260,\n",
       "                       0.8201,  0.3017,  3.5916, -0.6745,  1.2341,  0.9618,  0.6139, -2.2351,\n",
       "                      -0.1491,  2.7942,  1.3196,  2.3310,  0.4198,  1.4644,  1.0796,  0.9773,\n",
       "                       0.3254, -1.5983,  3.0839,  0.3215,  0.9476,  0.3686, -1.1409,  0.4445,\n",
       "                       0.2086,  1.4306,  1.6528,  1.2911, -0.6823, -0.1757,  1.0327,  0.5080,\n",
       "                       0.7450,  1.8705,  1.3323,  0.7480,  2.0419, -3.4400,  0.6241,  0.2284,\n",
       "                      -4.4745, -0.4551,  1.0788,  0.3651, -1.3757,  2.0138,  0.0767,  0.2853,\n",
       "                       2.6130,  0.8265,  3.5252, -2.3422,  1.0201,  0.1052,  0.3452, -0.7273,\n",
       "                       1.0549, -0.1615,  0.9006,  0.4788,  1.0590,  2.9543,  1.3501,  0.3236,\n",
       "                       0.9293, -0.0686,  0.0721, -1.0437, -0.7936, -0.3280,  0.7949,  0.3777,\n",
       "                      -1.7118,  2.2159,  1.4787,  2.0959,  3.2035,  1.3520, -1.2927,  1.1426],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage2.4.reparam_conv.weight',\n",
       "              tensor([[[[-9.5017e-02, -4.7134e-01, -7.0770e-02],\n",
       "                        [-3.4920e-01,  1.9633e+00,  8.6595e-02],\n",
       "                        [-2.3711e-02,  1.9128e-01, -2.0916e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 7.4837e-04, -6.4476e-01,  1.5326e-01],\n",
       "                        [-3.4377e-01,  2.5297e+00, -3.3377e-01],\n",
       "                        [ 4.1148e-02, -1.7962e-01, -9.4707e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[-5.8462e-02,  4.3134e-02, -3.6198e-02],\n",
       "                        [-1.5099e-01,  1.3572e+00, -1.4274e-01],\n",
       "                        [-8.3678e-02, -1.7423e-01, -7.0316e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 6.9589e-02, -7.6608e-02,  3.0435e-01],\n",
       "                        [ 4.3335e-01, -1.7501e+00,  7.5395e-01],\n",
       "                        [ 3.2753e-01,  4.1729e-01,  3.3900e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.3379e-01, -7.8936e-01, -1.9147e-01],\n",
       "                        [-1.8196e-01,  1.3673e+00, -2.5872e-01],\n",
       "                        [-1.9817e-02,  1.6949e-01, -9.2970e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-9.0981e-03, -7.3460e-01, -1.3284e-01],\n",
       "                        [-1.7528e-01,  2.6230e-02, -1.7672e-01],\n",
       "                        [-1.1033e-03,  1.0891e+00,  4.7540e-02]]]], device='cuda:0')),\n",
       "             ('module.stage2.4.reparam_conv.bias',\n",
       "              tensor([-9.7699e-01, -1.1292e+00,  9.5151e-01, -3.5552e+00, -7.5048e-01,\n",
       "                       2.3982e+00, -1.5219e+00,  1.5317e+00,  2.6145e-01,  5.3717e+00,\n",
       "                       2.3374e+00, -5.1248e+00, -6.2079e-01, -2.3925e+00,  5.0279e-01,\n",
       "                       3.7582e-01,  2.4309e+00,  5.5518e-02,  1.5348e+00,  2.1782e+00,\n",
       "                      -3.3467e-01, -1.0275e+00,  9.1144e+00, -7.1189e-02,  1.0193e+00,\n",
       "                      -9.0204e-01,  2.3973e+00, -1.2663e+00,  2.9000e-01, -1.0122e+00,\n",
       "                      -6.3379e-01,  2.1616e+00, -2.2568e+00, -7.7663e-01, -4.9731e-01,\n",
       "                      -4.9960e-01, -9.0977e-01,  1.5213e-01,  1.7202e+00, -1.4216e+00,\n",
       "                       2.3205e+00,  2.0592e+00, -3.7216e-01, -1.5104e-01,  1.9202e+00,\n",
       "                      -3.5559e-01, -2.3829e-02,  2.8794e+00, -3.4202e+00, -1.8897e+00,\n",
       "                       4.9537e-01,  1.8755e+00, -4.1164e-01,  3.9216e-02,  2.6435e-01,\n",
       "                       2.7162e+00,  3.2798e+00, -8.4314e-01,  1.1218e+00, -3.9937e-01,\n",
       "                       2.9930e+00, -1.0271e+00,  2.4927e+00, -1.6384e+00,  2.5011e+00,\n",
       "                      -2.0794e+00,  2.5510e-01, -1.0791e+00,  1.5215e+00,  1.6224e-01,\n",
       "                       1.9579e-01,  2.4316e+00,  1.5437e-01,  2.0390e+00, -9.2732e-01,\n",
       "                      -3.3095e-01, -1.4023e+00,  1.4818e-01,  5.0901e-01, -4.7605e-02,\n",
       "                      -1.1758e+00,  3.1538e+00,  1.7994e+00, -6.1486e-01, -2.6429e+00,\n",
       "                      -2.4873e-01, -1.1782e+00,  8.2637e-02, -1.0442e+00, -2.4032e+00,\n",
       "                       1.9915e+00,  6.1477e-01, -3.6016e-04,  2.0265e+00, -1.1313e+00,\n",
       "                       2.3068e-01, -8.6593e-01,  2.4533e+00, -6.2317e-02,  3.8365e+00,\n",
       "                      -2.9948e+00,  3.8005e+00, -8.7072e-01, -2.7532e+00,  2.5437e+00,\n",
       "                       3.5387e-01,  1.5855e+00,  2.3985e+00,  2.8408e-01,  3.5317e+00,\n",
       "                      -6.6206e-01, -2.1610e+00, -2.5460e+00,  2.2636e+00,  2.8983e+00,\n",
       "                       1.7568e+00,  1.2849e+00, -8.8208e-01,  2.4870e+00, -2.5211e-01,\n",
       "                      -5.3176e-01,  9.8421e-01,  9.5475e-01, -2.1873e+00, -1.3124e+00,\n",
       "                       4.9706e-01,  9.2743e-01,  1.0079e+00], device='cuda:0')),\n",
       "             ('module.stage2.5.reparam_conv.weight',\n",
       "              tensor([[[[-1.0535e-01]],\n",
       "              \n",
       "                       [[ 5.6547e-02]],\n",
       "              \n",
       "                       [[ 3.9867e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 8.0937e-03]],\n",
       "              \n",
       "                       [[ 3.3404e-03]],\n",
       "              \n",
       "                       [[ 9.8043e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 9.9550e-03]],\n",
       "              \n",
       "                       [[ 1.0077e-01]],\n",
       "              \n",
       "                       [[-3.9123e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 9.7327e-03]],\n",
       "              \n",
       "                       [[ 3.9383e-02]],\n",
       "              \n",
       "                       [[-1.1915e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.2826e-02]],\n",
       "              \n",
       "                       [[ 4.1220e-02]],\n",
       "              \n",
       "                       [[-1.3652e-01]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 4.3670e-02]],\n",
       "              \n",
       "                       [[-3.7044e-02]],\n",
       "              \n",
       "                       [[ 2.3543e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-1.5463e-02]],\n",
       "              \n",
       "                       [[ 1.0238e-02]],\n",
       "              \n",
       "                       [[ 7.6890e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-1.8434e-01]],\n",
       "              \n",
       "                       [[-2.6697e-02]],\n",
       "              \n",
       "                       [[-3.4782e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-3.8448e-02]],\n",
       "              \n",
       "                       [[-4.6321e-02]],\n",
       "              \n",
       "                       [[ 4.7262e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-7.2257e-02]],\n",
       "              \n",
       "                       [[-5.0928e-02]],\n",
       "              \n",
       "                       [[-4.7101e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 6.1636e-03]],\n",
       "              \n",
       "                       [[-1.4847e-06]],\n",
       "              \n",
       "                       [[ 4.0947e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-2.8915e-02]],\n",
       "              \n",
       "                       [[-2.1129e-02]],\n",
       "              \n",
       "                       [[ 6.3095e-02]]]], device='cuda:0')),\n",
       "             ('module.stage2.5.reparam_conv.bias',\n",
       "              tensor([ 1.2214,  1.6621,  1.0380,  0.2549,  0.2913,  1.9752,  0.8949,  1.7389,\n",
       "                      -0.1645,  0.8117,  0.1094, -3.2296,  3.5307,  2.0457,  3.1707, -1.2555,\n",
       "                       2.4049,  0.0916,  0.5811, -1.8886,  1.3648,  2.1124, -0.3055,  1.2583,\n",
       "                       2.4677,  0.7638, -0.5741,  0.0717,  0.8737,  1.4746,  1.0594, -0.2499,\n",
       "                      -2.2031,  0.0577, -2.4248,  2.5879,  0.4389,  0.0732,  2.0848,  1.2149,\n",
       "                       2.2828,  1.7792,  0.8513,  0.3837,  1.5103,  1.3066,  0.9639, -0.0566,\n",
       "                       0.2511, -0.5676, -0.8783, -0.6390,  0.8959,  0.0619,  1.3638, -0.6556,\n",
       "                       1.5926,  0.6935,  0.5846,  0.3140, -0.4379,  1.0351,  1.6155,  1.6101,\n",
       "                      -1.4215, -1.2939,  1.2257,  1.7978, -0.0755,  0.6410,  0.7560, -1.5987,\n",
       "                       1.2837,  1.8284, -1.6316, -4.6228, -0.4114,  2.2091,  1.0352, -0.8791,\n",
       "                       1.0984,  1.5993, -1.9314,  1.1345,  4.7338, -0.2470, -0.3076,  1.5925,\n",
       "                       0.6161, -1.8161,  1.4802,  2.8189,  0.4875, -0.5689, -1.9564,  0.6407,\n",
       "                       0.4009,  2.0001,  1.6259, -1.0001, -1.2218,  1.7606, -0.4270,  2.7729,\n",
       "                       1.4486,  2.7309,  0.7480,  0.1232,  1.5566,  2.7007,  2.2222,  1.1072,\n",
       "                       0.2690, -2.3495,  4.1561, -3.3361, -0.3469,  0.9015,  1.1588,  0.0607,\n",
       "                       2.5178,  0.0580,  0.7143,  0.3460, -3.2324, -1.0803,  2.8881,  1.5543],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage2.6.reparam_conv.weight',\n",
       "              tensor([[[[ 4.2836e-01,  1.2760e+00,  2.1754e-01],\n",
       "                        [-3.3378e-02,  3.9166e-01, -9.0223e-02],\n",
       "                        [-3.6458e-01, -8.4962e-01, -4.2535e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.3080e-02, -2.5074e-01, -5.0329e-01],\n",
       "                        [ 1.1160e+00, -2.6492e-01, -9.6950e-01],\n",
       "                        [ 6.4711e-01,  1.6800e-01, -4.0334e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.8323e-01, -8.3409e-01, -3.7591e-01],\n",
       "                        [-2.0828e-03,  3.1756e+00,  8.1463e-02],\n",
       "                        [-2.8100e-01, -1.1547e+00, -8.1757e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 8.0297e-02,  2.3817e-03,  1.1662e-01],\n",
       "                        [ 9.3712e-02,  1.3716e+00,  2.4709e-01],\n",
       "                        [ 8.4998e-02,  5.1923e-02,  9.4564e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-4.7716e-02, -1.5364e-01, -1.1006e-01],\n",
       "                        [-1.0248e-01,  1.3384e+00, -9.7697e-02],\n",
       "                        [-1.1767e-01, -7.4848e-02, -6.8610e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.2805e-02, -5.6613e-01,  1.2661e-01],\n",
       "                        [ 7.3316e-01, -4.4377e+00,  2.4657e+00],\n",
       "                        [-1.6984e-01, -4.1253e-01,  9.5534e-02]]]], device='cuda:0')),\n",
       "             ('module.stage2.6.reparam_conv.bias',\n",
       "              tensor([-0.5830,  0.1864, -1.4622, -0.4334, -0.9693, -2.3593,  0.0671,  0.8271,\n",
       "                      -0.7554, -0.8040,  0.4373,  0.8386, -1.2345,  0.5267, -0.5937,  1.5665,\n",
       "                      -0.4942, -0.1433, -1.1908, -0.0085,  0.5789, -1.1014,  0.3894, -0.1335,\n",
       "                       6.3242, -1.0785,  0.3378,  1.5687, -1.9364,  0.0678, -0.9340, -0.1792,\n",
       "                       1.9308, -0.1802, -1.5023,  3.5719, -0.4495, -0.4896, -0.0984, -1.6545,\n",
       "                       4.0661,  2.8722,  1.7882,  1.5636,  0.7657,  0.9159,  2.4995, -1.4667,\n",
       "                      -1.0969,  0.0153,  2.7179,  2.0482,  1.3764, -0.7518, -0.3477,  0.0284,\n",
       "                       6.1110, -0.8835, -0.3899, -0.1272,  0.9986, -0.6880, -2.5841,  2.5658,\n",
       "                      -1.3938,  0.0414,  1.4566, -1.2924,  0.1107, -3.2134, -0.6309,  1.8726,\n",
       "                       0.0151,  0.1528, -0.8617,  0.5221,  0.8546,  3.3908, -0.2697,  1.1654,\n",
       "                      -0.5742,  2.2583,  0.4814,  6.0109, -0.4889, -1.0899, -1.0124, -0.0173,\n",
       "                       2.8402, -3.1411, -0.5753,  1.3203,  1.9823, -0.8930, -0.3474, -0.2726,\n",
       "                      -0.2319,  0.4530,  1.7652,  2.4994, -0.5806,  2.3436,  0.1378, -0.6532,\n",
       "                      -0.6245, -2.1660, -0.1098, -0.7376,  0.3972, -0.0577,  2.2740,  2.2088,\n",
       "                       1.7899,  1.7670, -0.6374, -0.3817, -0.5191, -0.9706,  0.1922, -0.4512,\n",
       "                      -0.8576, -0.6847,  0.4052, -2.1122, -0.9859, -2.9093,  2.3575,  2.5955],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage2.7.reparam_conv.weight',\n",
       "              tensor([[[[-7.4775e-03]],\n",
       "              \n",
       "                       [[-2.7344e-03]],\n",
       "              \n",
       "                       [[ 3.2541e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 2.6570e-01]],\n",
       "              \n",
       "                       [[ 3.1993e-02]],\n",
       "              \n",
       "                       [[-3.7719e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.2505e-02]],\n",
       "              \n",
       "                       [[ 1.1268e-01]],\n",
       "              \n",
       "                       [[-3.7446e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-6.4856e-02]],\n",
       "              \n",
       "                       [[ 4.8455e-02]],\n",
       "              \n",
       "                       [[ 4.2515e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.1874e-01]],\n",
       "              \n",
       "                       [[ 4.3203e-02]],\n",
       "              \n",
       "                       [[-6.3685e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-7.3324e-02]],\n",
       "              \n",
       "                       [[-9.1096e-03]],\n",
       "              \n",
       "                       [[ 3.9582e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 5.5448e-02]],\n",
       "              \n",
       "                       [[-3.4878e-02]],\n",
       "              \n",
       "                       [[ 2.2902e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 2.3523e-02]],\n",
       "              \n",
       "                       [[-2.4221e-01]],\n",
       "              \n",
       "                       [[-5.4906e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-3.0798e-02]],\n",
       "              \n",
       "                       [[-1.9990e-02]],\n",
       "              \n",
       "                       [[-1.2182e-01]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 4.2060e-02]],\n",
       "              \n",
       "                       [[ 1.6270e-01]],\n",
       "              \n",
       "                       [[-4.1421e-05]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.4181e-02]],\n",
       "              \n",
       "                       [[-1.4542e-02]],\n",
       "              \n",
       "                       [[-9.2407e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-6.6649e-03]],\n",
       "              \n",
       "                       [[-1.3236e-01]],\n",
       "              \n",
       "                       [[ 2.8566e-02]]]], device='cuda:0')),\n",
       "             ('module.stage2.7.reparam_conv.bias',\n",
       "              tensor([ 9.1272e-01, -3.3697e-01, -5.1737e-01,  2.2910e+00, -6.7601e-01,\n",
       "                      -6.1167e-01,  1.3227e+00, -2.8646e-01,  1.7080e+00,  1.3967e+00,\n",
       "                       2.2496e-01,  3.7678e-01,  1.5295e+00, -1.2988e+00,  1.1941e+00,\n",
       "                      -8.5266e-01, -1.6403e+00,  9.1013e-02,  1.0243e+00, -6.6989e-01,\n",
       "                       1.3965e+00,  1.5603e+00, -1.2787e+00, -3.3403e-01, -1.3062e-02,\n",
       "                      -2.8310e-02,  2.3689e-01,  2.6557e-01,  2.0918e-02,  1.7511e+00,\n",
       "                       1.2921e+00,  1.2804e+00, -2.5417e-01,  4.5305e-01, -5.9095e-01,\n",
       "                       7.7130e-01, -3.4101e-02,  1.1927e+00,  7.1145e-01,  7.6248e-01,\n",
       "                       1.6741e+00, -6.2947e-01,  7.8703e-01, -7.4004e-01,  3.9229e-02,\n",
       "                       2.0468e+00,  1.7196e+00,  1.4631e+00,  1.1605e-02, -1.6977e+00,\n",
       "                       1.3224e+00,  2.7166e+00,  8.7500e-01, -8.4482e-01, -7.8118e-01,\n",
       "                       1.9684e-01,  2.5940e+00, -5.1672e-03,  2.5139e-01, -7.1816e-01,\n",
       "                       1.1823e-01,  1.0642e-01, -9.7442e-02,  1.9976e+00, -7.4220e-02,\n",
       "                       1.4869e+00,  1.5080e+00,  5.9838e-02, -1.3464e-01,  1.2475e+00,\n",
       "                       4.9238e-01,  6.9526e-01, -2.1134e-01, -6.8054e-01, -6.6108e-01,\n",
       "                       1.7578e+00,  2.0643e+00, -2.5445e-01,  1.1053e+00,  2.8786e-01,\n",
       "                       1.3797e+00,  1.6066e+00,  1.4037e+00, -1.1686e+00,  1.2417e+00,\n",
       "                      -9.8649e-01, -2.1887e-01,  1.1101e+00, -1.6539e+00,  9.8157e-01,\n",
       "                       1.8274e+00, -1.4246e+00,  4.4740e-01,  1.1555e+00,  1.2472e+00,\n",
       "                      -1.9414e+00,  1.4121e+00, -7.0111e-01,  3.8852e-01,  2.4201e-01,\n",
       "                       7.3690e-01, -9.1960e-01,  2.6315e+00,  3.3581e+00,  3.6930e-01,\n",
       "                      -7.6199e-01,  1.2851e+00, -1.0687e-01, -2.4249e-01,  5.1886e-02,\n",
       "                       2.9840e+00, -1.5189e+00,  1.2399e+00,  8.4105e-02, -3.6974e-01,\n",
       "                      -8.9112e-04,  1.2356e+00,  9.0126e-01, -2.2008e+00, -1.1454e+00,\n",
       "                       1.0156e+00, -1.8166e+00,  1.3401e+00,  1.0400e+00,  1.3037e+00,\n",
       "                       1.8340e-01, -9.9268e-01,  1.1829e+00], device='cuda:0')),\n",
       "             ('module.stage2.8.reparam_conv.weight',\n",
       "              tensor([[[[-0.2140, -0.5006, -0.0447],\n",
       "                        [-0.6978, -1.5431, -0.6464],\n",
       "                        [-0.0573, -0.4371, -0.0778]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2329, -0.1008, -0.1327],\n",
       "                        [ 1.2014, -0.5926, -0.0864],\n",
       "                        [ 0.3378, -0.1167,  0.0855]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0613,  0.2238,  0.1569],\n",
       "                        [ 0.0429,  1.3679, -0.0470],\n",
       "                        [ 0.0766,  0.1104,  0.0771]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.2094, -0.1906, -0.1660],\n",
       "                        [ 1.2246, -0.5789, -0.3744],\n",
       "                        [-0.1240,  0.0440,  0.1186]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0988, -0.7195, -0.3258],\n",
       "                        [ 0.3828, -0.1621, -0.4231],\n",
       "                        [ 0.6223,  0.8635,  0.0367]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.9195,  0.1383,  0.3333],\n",
       "                        [-0.2340,  0.9976, -0.1226],\n",
       "                        [ 0.1924,  0.6762, -1.2851]]]], device='cuda:0')),\n",
       "             ('module.stage2.8.reparam_conv.bias',\n",
       "              tensor([ 4.1941e+00, -6.0973e-01, -1.2997e+00,  2.2330e+00, -7.1890e-01,\n",
       "                      -5.8376e-01, -4.7052e-01,  7.3163e+00, -1.3718e+00, -2.8428e+00,\n",
       "                      -2.9137e-01, -2.0517e+00,  2.9524e-01,  1.8945e+00, -7.8288e-01,\n",
       "                      -7.2589e-01, -2.1580e+00,  1.9492e+00, -9.9440e-01,  1.3768e+00,\n",
       "                      -1.5037e+00, -1.1547e+00, -1.5352e+00, -2.8996e-02,  4.4877e-01,\n",
       "                      -3.2442e-01,  4.3308e+00,  2.2558e+00, -7.4937e-01, -1.6190e+00,\n",
       "                       4.6449e+00, -2.4410e+00, -4.2451e-01, -1.4151e+00, -6.0657e+00,\n",
       "                      -1.8983e-01, -9.3306e-01, -4.2058e+00,  1.1912e-02,  5.3297e+00,\n",
       "                       3.1787e+00, -2.9774e+00,  3.3980e-01,  2.9988e+00, -2.5115e+00,\n",
       "                       5.6086e+00,  4.0377e-01, -3.8134e+00,  7.3637e-01, -9.6311e-01,\n",
       "                       3.9685e+00,  3.1181e-01, -2.1909e+00, -2.2962e+00,  2.6058e+00,\n",
       "                       1.5956e+00,  4.5055e-02, -1.3799e-01, -1.0474e+00, -1.7606e+00,\n",
       "                      -1.3022e+00, -8.4458e-01,  5.6769e+00, -1.4148e+00, -2.1734e+00,\n",
       "                       2.5596e-02, -3.3071e+00,  2.0186e+00,  3.2621e+00, -2.7416e-01,\n",
       "                      -2.7267e-02, -1.0288e+00, -1.9625e+00, -3.4432e-01, -1.2082e+00,\n",
       "                      -2.3895e+00,  2.1793e+01, -4.2973e-01, -3.4122e-01, -3.1641e+00,\n",
       "                       6.3059e+00,  3.4306e-02, -1.8296e+00, -2.9661e+00,  8.7754e+00,\n",
       "                       2.5177e+00,  2.2288e-01, -1.1908e+00, -2.5942e+00,  3.6361e+00,\n",
       "                      -1.1708e-01, -2.2895e+00, -1.1868e+00, -1.2349e-01,  1.3796e-01,\n",
       "                       2.4742e+00,  2.8724e-01,  1.0236e-01, -5.8118e-01, -2.7466e+00,\n",
       "                      -2.1719e-01,  7.2164e-02, -2.4392e-01,  9.8783e-02, -1.5698e+00,\n",
       "                      -1.0727e+00, -2.9488e-01,  3.4499e+00,  1.8526e-01, -1.1553e+00,\n",
       "                       5.3274e+00, -1.0210e+00,  2.2554e-01, -7.5023e-01,  1.6995e+00,\n",
       "                       2.3803e-01, -1.0463e+00,  1.8742e+00, -1.3723e+00, -8.7584e-01,\n",
       "                       8.7105e-01, -1.3604e+00, -8.2949e-01, -6.5307e-01, -2.9308e-01,\n",
       "                       8.0447e-01,  1.7482e-01,  2.1918e+00], device='cuda:0')),\n",
       "             ('module.stage2.9.reparam_conv.weight',\n",
       "              tensor([[[[-1.0831e-01]],\n",
       "              \n",
       "                       [[-2.7937e-02]],\n",
       "              \n",
       "                       [[-1.1577e-01]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-1.1888e-02]],\n",
       "              \n",
       "                       [[ 3.0049e-02]],\n",
       "              \n",
       "                       [[ 1.8474e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.9389e-03]],\n",
       "              \n",
       "                       [[-8.9185e-02]],\n",
       "              \n",
       "                       [[-1.7169e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-1.0884e-01]],\n",
       "              \n",
       "                       [[-3.5479e-01]],\n",
       "              \n",
       "                       [[ 9.9446e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 9.3077e-02]],\n",
       "              \n",
       "                       [[ 6.0824e-02]],\n",
       "              \n",
       "                       [[ 3.1350e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 1.6920e-02]],\n",
       "              \n",
       "                       [[ 1.8708e-02]],\n",
       "              \n",
       "                       [[-7.3647e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-9.2468e-03]],\n",
       "              \n",
       "                       [[-4.2294e-02]],\n",
       "              \n",
       "                       [[-7.5071e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 5.2174e-01]],\n",
       "              \n",
       "                       [[-5.0442e-02]],\n",
       "              \n",
       "                       [[-2.3549e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 7.0967e-02]],\n",
       "              \n",
       "                       [[ 8.8398e-02]],\n",
       "              \n",
       "                       [[-1.3591e-01]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-5.4076e-02]],\n",
       "              \n",
       "                       [[-6.9022e-02]],\n",
       "              \n",
       "                       [[-2.6179e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.0342e-01]],\n",
       "              \n",
       "                       [[-5.2398e-02]],\n",
       "              \n",
       "                       [[-1.2736e-01]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-2.6374e-02]],\n",
       "              \n",
       "                       [[ 6.6526e-03]],\n",
       "              \n",
       "                       [[ 1.7799e-04]]]], device='cuda:0')),\n",
       "             ('module.stage2.9.reparam_conv.bias',\n",
       "              tensor([ 2.2082,  0.9304, -0.2980,  0.5282, -0.5707, -0.3920, -0.3001,  1.0605,\n",
       "                       0.8411,  1.7636,  0.8839, -1.0104, -0.7937, -0.5052,  0.0812,  0.4958,\n",
       "                       0.0868, -1.3983,  0.8954,  0.4897,  3.0100,  4.8316, -0.3368,  0.3084,\n",
       "                      -0.0889, -2.7115, -1.0167,  0.9763, -0.1676,  2.4966,  1.6105,  0.4475,\n",
       "                       0.3753,  0.9148,  0.5751,  1.5267,  2.1968, -3.4698,  1.9457, -1.1218,\n",
       "                       2.3431,  1.9928,  2.6014,  1.1710,  2.5784,  0.3729,  0.7932,  2.6405,\n",
       "                       0.2412, -2.9216,  1.1463,  4.1355, -3.1511,  1.7648, -1.7729, -0.9313,\n",
       "                       0.1339,  1.4256,  0.9466,  2.2582, -0.2611, -1.4885, -0.5668, -0.6421,\n",
       "                       0.5920,  0.5572,  0.0924, -0.9060, -1.2890, -1.6075,  0.0141, -1.4958,\n",
       "                       1.5978, -0.9360, -0.0883,  0.4770,  1.4216,  0.7548, -0.0240, -0.8141,\n",
       "                      -0.3828,  0.1160,  2.2621, -0.5733, -1.2063,  0.8193, -1.0498,  2.0723,\n",
       "                       1.2755,  1.0287,  1.2829,  0.2821,  0.9600,  0.2593,  0.1269,  0.2680,\n",
       "                       0.4159, -1.2757,  0.3007,  1.7695, -1.8813, -0.2373,  1.3167,  0.6127,\n",
       "                       0.1618,  0.3798,  1.4257, -0.8336,  0.9151,  0.5753, -0.1807, -2.0348,\n",
       "                      -0.6192,  1.5274,  0.4361, -0.8785, -1.0338, -1.7039,  3.3792,  3.6864,\n",
       "                       2.4844,  1.9918, -0.0857, -0.5875,  1.3632, -1.3691, -0.6305,  1.5574],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage2.10.reparam_conv.weight',\n",
       "              tensor([[[[-0.1884, -0.0562, -0.1266],\n",
       "                        [-0.0824,  1.7994, -0.0701],\n",
       "                        [-0.1461, -0.0315, -0.1046]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.2249,  0.0680,  0.3762],\n",
       "                        [ 0.2562,  1.4584, -0.0158],\n",
       "                        [ 0.2562,  0.1479,  0.1178]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0138,  0.2722, -0.1161],\n",
       "                        [ 0.3375,  0.5771,  0.2670],\n",
       "                        [-0.0962,  0.3537, -0.2104]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.2833, -0.4850, -1.3043],\n",
       "                        [-0.8768,  2.7527,  2.3507],\n",
       "                        [-0.5170,  1.2617,  0.9045]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2682,  0.2300,  0.2253],\n",
       "                        [ 0.3573, -0.1910,  0.4891],\n",
       "                        [ 0.3291,  0.1249,  0.2745]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.2083, -0.0221, -0.2638],\n",
       "                        [-0.0738,  1.9490,  0.0121],\n",
       "                        [-0.0485, -0.1495, -0.2797]]]], device='cuda:0')),\n",
       "             ('module.stage2.10.reparam_conv.bias',\n",
       "              tensor([ 8.6993e-01, -2.2055e+00,  2.6919e-01,  2.1177e+00, -4.7679e-01,\n",
       "                       3.4861e-02, -3.3936e+00, -1.8843e+00,  9.3691e-01,  1.2554e+00,\n",
       "                      -5.9764e-01,  1.3982e+00,  5.9025e-01, -8.5264e-02, -2.1327e+00,\n",
       "                      -2.3344e-01,  7.3690e-03,  3.9794e-01, -1.2260e+00,  5.9491e-01,\n",
       "                       5.6187e-01,  3.4794e-01,  8.0153e-01, -3.9358e+00,  2.8411e-01,\n",
       "                      -1.5821e+00, -4.5121e-02,  6.3076e-01,  3.1987e+00, -9.3257e-01,\n",
       "                      -5.6590e-01,  2.5481e+00,  2.9833e-01, -3.6812e-01, -1.5639e+00,\n",
       "                       1.5227e+00, -5.2855e-01, -4.1513e-01, -9.4923e-01,  1.3026e+00,\n",
       "                       3.0568e+00,  2.7249e+00,  2.9080e+00,  1.2799e+00, -4.1553e-01,\n",
       "                       1.1831e-03, -2.4376e-01,  5.5536e-01,  3.3428e-01,  2.4617e+00,\n",
       "                      -7.4182e-01, -1.0308e+00,  1.3317e-02,  3.0700e+00, -1.3606e+00,\n",
       "                       8.4289e-01,  2.1408e-01,  4.3100e-01,  1.6470e+00,  8.3217e+00,\n",
       "                      -1.4938e+00,  2.2498e+00,  1.0648e+00,  3.6304e+00,  3.2476e-01,\n",
       "                       1.3218e-01,  2.3264e+00,  2.7623e+00, -2.2597e+00, -3.4795e-01,\n",
       "                       2.4618e-01,  3.0977e-01,  3.3271e+00, -3.9476e-01,  8.5909e-01,\n",
       "                      -3.0251e-02, -3.3465e-01,  2.3213e+00,  1.0210e-01,  7.8132e-01,\n",
       "                       2.0576e+00,  2.1623e+00, -1.0042e-01, -1.2528e-01,  1.9072e+00,\n",
       "                      -2.4585e-02,  1.5833e+00,  3.2835e+00,  3.5196e-02, -7.1814e-01,\n",
       "                      -8.2451e-01, -6.5933e-01,  1.0359e-01,  2.8237e+00,  8.9780e-01,\n",
       "                       1.9704e+00, -1.8262e-01,  2.9834e+00,  3.4501e+00,  9.1129e-01,\n",
       "                       9.2460e-02,  2.4663e-01, -9.7743e-01, -6.7862e-01,  1.8319e+00,\n",
       "                       2.8363e+00, -4.1324e-01, -4.2456e-01, -4.5456e-01, -5.6493e-01,\n",
       "                      -6.8321e-02,  2.3501e+00, -2.1774e+00,  4.7874e+00, -1.4512e+00,\n",
       "                       5.0592e-02, -1.2071e-01,  9.5023e-01,  4.1353e+00,  1.6764e+00,\n",
       "                       9.3639e-02,  2.7313e+00,  1.5320e+00, -1.4859e+00,  1.6199e+00,\n",
       "                      -6.2497e-02,  3.0955e-01,  4.2904e-01], device='cuda:0')),\n",
       "             ('module.stage2.11.reparam_conv.weight',\n",
       "              tensor([[[[-0.1736]],\n",
       "              \n",
       "                       [[ 0.0139]],\n",
       "              \n",
       "                       [[ 0.0111]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0085]],\n",
       "              \n",
       "                       [[ 0.0211]],\n",
       "              \n",
       "                       [[-0.0095]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1699]],\n",
       "              \n",
       "                       [[ 0.0351]],\n",
       "              \n",
       "                       [[ 0.0960]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0011]],\n",
       "              \n",
       "                       [[-0.0148]],\n",
       "              \n",
       "                       [[ 0.1114]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0583]],\n",
       "              \n",
       "                       [[-0.0202]],\n",
       "              \n",
       "                       [[-0.0886]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0939]],\n",
       "              \n",
       "                       [[-0.0043]],\n",
       "              \n",
       "                       [[ 0.0333]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0641]],\n",
       "              \n",
       "                       [[ 0.0343]],\n",
       "              \n",
       "                       [[ 0.0123]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0242]],\n",
       "              \n",
       "                       [[-0.0824]],\n",
       "              \n",
       "                       [[-0.0422]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0138]],\n",
       "              \n",
       "                       [[ 0.0259]],\n",
       "              \n",
       "                       [[-0.0250]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0061]],\n",
       "              \n",
       "                       [[-0.0233]],\n",
       "              \n",
       "                       [[-0.1019]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0217]],\n",
       "              \n",
       "                       [[ 0.0690]],\n",
       "              \n",
       "                       [[-0.0653]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0168]],\n",
       "              \n",
       "                       [[ 0.0526]],\n",
       "              \n",
       "                       [[ 0.4110]]]], device='cuda:0')),\n",
       "             ('module.stage2.11.reparam_conv.bias',\n",
       "              tensor([ 1.6174e+00, -1.3625e+00,  5.8021e-01,  8.8672e-01,  4.8689e+00,\n",
       "                      -2.2133e+00, -1.4115e+00, -4.4729e-02, -1.5024e+00, -2.1136e-01,\n",
       "                       8.4830e-01,  1.4951e+00,  1.6298e+00, -1.4603e+00,  2.2488e+00,\n",
       "                       6.9715e-01,  3.7199e-02, -2.9087e-01, -1.6077e+00,  2.3063e+00,\n",
       "                      -9.8181e-01, -2.4025e-01, -1.8959e+00,  1.6748e+00, -3.1659e+00,\n",
       "                      -1.3523e+00, -7.5114e-01,  2.2716e+00, -4.0525e-01,  7.6850e-01,\n",
       "                       1.3751e+00,  1.5088e+00, -2.1342e+00, -1.6707e+00,  1.0530e+00,\n",
       "                       2.8105e+00,  4.5284e-01, -1.0507e+00, -2.0605e-01,  3.2290e-01,\n",
       "                       1.8203e-01,  3.1674e+00,  8.3262e-01, -1.2951e+00,  1.3816e+00,\n",
       "                       9.2077e-01,  1.5488e+00,  9.7757e-01, -1.5692e+00,  8.6719e-01,\n",
       "                       4.9610e-01,  1.0082e+00,  5.0269e-01,  2.1253e+00, -1.0325e+00,\n",
       "                      -2.2420e-01, -1.1976e-01, -5.0566e-01,  1.8327e+00,  2.3815e+00,\n",
       "                      -5.7098e-02,  6.9484e-01,  9.1277e-01, -8.1962e-01, -1.4062e+00,\n",
       "                       4.8433e-01,  2.0052e+00,  1.3863e+00, -1.4393e+00,  2.3072e-01,\n",
       "                       5.0683e-01, -4.1388e+00,  9.0278e-01,  2.2459e-01, -1.8758e-01,\n",
       "                       9.4484e-01,  8.6465e-04,  1.4735e+00,  2.9769e-01,  2.9817e+00,\n",
       "                      -1.0375e+00,  1.9271e+00,  1.5507e-01,  1.4297e+00, -5.2816e-01,\n",
       "                      -5.3291e-01, -1.8270e-01, -6.0323e-01,  4.7983e-01,  5.2710e+00,\n",
       "                       1.9364e+00,  1.5309e+00,  8.7884e-01,  5.6273e-01,  7.4057e-01,\n",
       "                      -1.6536e+00,  1.7349e+00,  3.3385e-01,  1.6015e+00,  2.2570e-01,\n",
       "                      -3.7387e-01,  2.4901e+00, -4.4045e-01,  9.2519e-02,  1.1366e+00,\n",
       "                      -7.8161e-01,  1.6861e+00, -1.3164e-01,  3.9463e-01,  1.0626e-01,\n",
       "                       1.4022e-01, -1.1537e-02, -1.3875e+00, -1.2825e-03, -1.6436e+00,\n",
       "                      -9.0797e-02, -1.4611e+00,  3.3455e+00,  3.4498e+00,  4.5865e-01,\n",
       "                      -5.1813e+00,  2.2965e+00, -3.0766e-01,  1.3435e+00, -5.4346e-01,\n",
       "                      -3.6419e+00, -1.8162e+00,  3.7745e-01], device='cuda:0')),\n",
       "             ('module.stage2.12.reparam_conv.weight',\n",
       "              tensor([[[[-1.2211,  0.0163,  1.3057],\n",
       "                        [-0.1077, -2.8322,  0.0479],\n",
       "                        [ 1.5816, -0.1926, -1.6511]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0520, -0.0101, -0.0384],\n",
       "                        [-0.0323,  1.0413,  0.0099],\n",
       "                        [-0.0207, -0.0261, -0.0261]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1113,  0.1933,  0.1271],\n",
       "                        [ 0.1290,  1.1248,  0.2478],\n",
       "                        [ 0.0497,  0.2888,  0.0817]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.1052, -0.1850, -0.1245],\n",
       "                        [-0.1281,  1.6992, -0.0718],\n",
       "                        [-0.0704, -0.0962, -0.1435]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.6607,  0.9081,  0.5704],\n",
       "                        [-0.1606, -0.0297, -0.1002],\n",
       "                        [-0.3852, -0.6366, -0.5449]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1077,  0.0922,  0.0721],\n",
       "                        [ 0.1297,  0.6107,  0.2105],\n",
       "                        [ 0.0427,  0.2369,  0.0693]]]], device='cuda:0')),\n",
       "             ('module.stage2.12.reparam_conv.bias',\n",
       "              tensor([ 3.4061,  0.4746, -1.4398, -1.2984, -0.3828, -0.0243, -1.7289, -1.0614,\n",
       "                      -0.4649,  2.7045,  0.2714,  2.9902,  0.1368, -1.1665, -3.1360, -0.9345,\n",
       "                      -0.6994, -1.0767,  0.0318,  1.1217, -2.1973,  0.2073, -0.1735, -1.4873,\n",
       "                      -0.8145,  2.6737, -1.7848,  0.2220, -0.7584, -2.1887,  1.3044,  5.5903,\n",
       "                       0.0911, -1.7638,  4.2830,  1.6018, -0.1751,  0.7771, -1.0980, -0.3357,\n",
       "                       0.2572,  2.7882,  1.3581, -1.9309, -1.8314, -1.0993, -0.4320,  0.0935,\n",
       "                      -0.0647, -0.4551, -1.1361,  0.3107, -1.3575, -2.5684, -0.0363, -0.7182,\n",
       "                       0.0628, -0.9521,  0.5503, -1.5068,  1.8027,  0.2639,  1.2631, -0.2963,\n",
       "                      -1.7837, -1.7714,  2.1531, -0.2842, -0.2668,  0.6083, -2.4482, -1.4958,\n",
       "                      -2.1937,  2.3762,  0.1052,  0.1130, -0.5581,  0.9521, -0.0789,  1.2027,\n",
       "                      -0.4270,  0.2272, -0.2863,  1.6187, -0.3931,  1.4520,  0.1076, -1.2936,\n",
       "                       0.1485,  0.0112, -1.3738,  2.4653, -0.5267, -0.5885,  0.0585, -0.4695,\n",
       "                      -2.6192, -1.0359,  4.2325, -0.2428, -1.8852, -0.2220,  3.4597,  0.5647,\n",
       "                      -1.4159, -1.3301,  5.7866, -1.4271, -1.4780, -0.3624, -2.1747,  0.6638,\n",
       "                      -1.6176, -2.4692, -2.1149,  0.1101,  0.3500,  5.5397,  1.4100,  0.2898,\n",
       "                      -1.9179, -1.9437,  0.0178,  1.3432,  0.4280,  0.8482, -0.4390,  0.0209],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage2.13.reparam_conv.weight',\n",
       "              tensor([[[[-0.1816]],\n",
       "              \n",
       "                       [[ 0.1064]],\n",
       "              \n",
       "                       [[-0.1130]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0585]],\n",
       "              \n",
       "                       [[-0.1133]],\n",
       "              \n",
       "                       [[ 0.0182]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0053]],\n",
       "              \n",
       "                       [[-0.0344]],\n",
       "              \n",
       "                       [[ 0.2160]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0513]],\n",
       "              \n",
       "                       [[ 0.1616]],\n",
       "              \n",
       "                       [[-0.0951]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0624]],\n",
       "              \n",
       "                       [[ 0.0048]],\n",
       "              \n",
       "                       [[-0.0406]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0671]],\n",
       "              \n",
       "                       [[-0.0265]],\n",
       "              \n",
       "                       [[ 0.0106]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0238]],\n",
       "              \n",
       "                       [[ 0.0249]],\n",
       "              \n",
       "                       [[-0.0515]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0255]],\n",
       "              \n",
       "                       [[-0.0240]],\n",
       "              \n",
       "                       [[-0.0132]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0576]],\n",
       "              \n",
       "                       [[ 0.0405]],\n",
       "              \n",
       "                       [[-0.0158]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0976]],\n",
       "              \n",
       "                       [[ 0.1281]],\n",
       "              \n",
       "                       [[ 0.0879]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0992]],\n",
       "              \n",
       "                       [[-0.1185]],\n",
       "              \n",
       "                       [[-0.0405]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0808]],\n",
       "              \n",
       "                       [[-0.0606]],\n",
       "              \n",
       "                       [[ 0.0640]]]], device='cuda:0')),\n",
       "             ('module.stage2.13.reparam_conv.bias',\n",
       "              tensor([-1.0546e+00,  4.0544e+00, -2.6550e+00, -1.2052e+00, -2.2897e+00,\n",
       "                      -2.2038e-01,  2.8207e-01,  1.1118e+00,  2.6077e+00, -1.2661e+00,\n",
       "                       1.1421e+00, -7.3777e-01,  9.3481e-01, -1.0585e-01,  9.7528e-01,\n",
       "                       2.3257e-01,  1.3070e+00, -1.1141e+00,  8.1186e-01,  1.8959e+00,\n",
       "                      -1.8509e+00, -1.5756e+00, -1.0942e+00,  5.8212e-01,  4.8375e+00,\n",
       "                       7.7955e+00,  8.0700e-01, -5.6001e-01,  1.7475e-01, -6.0458e+00,\n",
       "                       6.9902e-01,  8.1579e-01, -5.2307e-01, -1.6476e-01,  2.7136e+00,\n",
       "                       1.1780e+00,  2.2009e+00, -1.4582e-02,  6.9984e-01, -8.9391e-01,\n",
       "                       1.0485e+00,  3.8237e-01,  3.2106e+00,  3.2086e-01,  2.3813e+00,\n",
       "                       5.2338e-01,  2.4116e-01, -9.8938e-01, -3.6203e+00, -2.2811e+00,\n",
       "                       1.2305e+00, -2.0230e+00, -3.2726e+00,  6.8994e-01, -6.9412e-03,\n",
       "                      -3.0909e+00, -2.1971e+00, -4.0009e+00, -1.7008e+00,  1.6359e+00,\n",
       "                      -7.3242e-02, -8.4378e-01,  4.7096e-01, -6.8862e-01,  2.5357e+00,\n",
       "                      -1.0140e-01, -2.8619e+00,  4.8496e-01, -4.5309e+00, -6.5418e-01,\n",
       "                       3.7707e+00, -1.4786e+00,  1.1734e+00,  2.7163e-01, -1.0465e+00,\n",
       "                      -1.4079e+00, -1.2100e+00,  2.5754e-01, -1.5190e+00,  1.0106e-01,\n",
       "                       7.0702e-01, -1.5328e+00, -4.3302e-01, -5.1817e+00, -1.3026e-01,\n",
       "                      -5.2015e-01, -4.0120e-01, -4.9060e-01,  2.7541e-02, -2.5045e-01,\n",
       "                      -3.8492e+00, -3.7901e+00,  1.0704e+00, -2.3966e+00,  1.4240e+00,\n",
       "                       1.2175e+00,  8.1936e-02,  1.5062e+00, -1.1991e+00, -9.9557e-02,\n",
       "                      -8.3668e-02, -5.9884e-01, -1.6591e+00,  5.5906e-01, -2.1805e+00,\n",
       "                      -8.3390e-02, -1.2470e+00, -2.8292e+00, -1.6343e-01, -3.1164e+00,\n",
       "                      -1.3876e+00,  1.0474e+00,  7.7644e-02,  4.5413e-01,  3.8773e+00,\n",
       "                      -1.6922e+00,  2.1756e+00, -2.5647e-01, -4.7082e-01,  1.4132e-01,\n",
       "                      -3.6954e+00,  1.2043e+00, -2.1934e+00,  3.3150e+00, -2.5404e-01,\n",
       "                       2.1536e+00, -2.6059e-01, -2.8302e+00], device='cuda:0')),\n",
       "             ('module.stage2.14.reparam_conv.weight',\n",
       "              tensor([[[[ 0.2638, -0.0277,  0.2405],\n",
       "                        [ 0.2675,  0.7683,  0.4432],\n",
       "                        [ 0.8195,  0.3001,  0.7232]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1966, -0.3846, -0.3964],\n",
       "                        [-0.2420, -0.2453, -0.5036],\n",
       "                        [-0.4036, -0.4122, -0.5252]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0042,  0.0648,  0.0043],\n",
       "                        [-0.0673,  1.4123,  0.4779],\n",
       "                        [ 0.0491,  0.6269,  0.1884]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.4000,  0.0588, -0.2520],\n",
       "                        [ 1.5518,  0.3352, -1.6893],\n",
       "                        [ 0.7198,  0.1241, -0.4607]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2280,  0.4614,  0.6168],\n",
       "                        [ 0.4433,  0.3775,  0.6606],\n",
       "                        [ 0.4876,  0.4249,  0.5084]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0904,  0.2507,  0.1576],\n",
       "                        [ 0.1648,  0.4871,  0.2578],\n",
       "                        [ 0.0666,  0.2987,  0.1415]]]], device='cuda:0')),\n",
       "             ('module.stage2.14.reparam_conv.bias',\n",
       "              tensor([-4.1467e+00,  2.7011e+00, -1.5117e+00,  2.3912e-01, -2.3048e-02,\n",
       "                      -5.9034e-01, -1.2766e+00, -5.4807e-01, -5.6420e-02,  1.2172e-02,\n",
       "                      -9.8497e-01,  2.3480e-01,  4.0506e+00, -2.7787e+00,  1.3757e+00,\n",
       "                       3.0143e+00,  5.4764e-02, -5.7452e-01,  3.6282e+00, -2.0957e+00,\n",
       "                      -1.3582e-01,  2.5118e+00,  1.7756e-01,  1.2403e-01, -1.6262e-01,\n",
       "                       2.8355e-01, -4.2423e+00,  1.9251e+00, -4.9771e-01,  3.0949e-03,\n",
       "                      -1.8274e-01,  3.0268e-02, -1.5074e+00,  3.5541e+00, -5.6833e-02,\n",
       "                      -1.0231e+00, -4.0841e-01, -3.8483e-01, -2.9226e-02,  3.1647e+00,\n",
       "                      -8.0107e-01, -3.1938e+00,  1.5880e-02,  2.6786e-02,  3.1782e+00,\n",
       "                       5.0178e+00,  3.8884e+00, -1.7831e-01, -3.0025e-02, -9.4448e-02,\n",
       "                       3.2513e+00,  2.9386e-02, -9.0990e-02, -2.2604e-01,  2.4521e+00,\n",
       "                      -6.1559e-02, -8.1492e-01,  2.7456e+00, -1.1918e+00, -1.2423e+00,\n",
       "                      -3.6295e+00, -2.6589e-01,  4.9984e-02, -3.1529e-01,  3.7015e+00,\n",
       "                       9.1507e-02, -1.4383e+00, -2.2357e+00,  4.1790e-02, -2.5915e-02,\n",
       "                       1.7718e+00, -7.0507e-02,  3.9240e+00, -2.0829e-01, -6.0883e-01,\n",
       "                      -3.9800e-01, -5.1944e-01, -2.4395e-01, -9.5000e-02, -1.9554e+00,\n",
       "                      -3.6884e+00, -1.8475e+00,  1.6878e-02, -1.7686e-01, -1.9588e+00,\n",
       "                       1.4515e-01, -9.4077e-01,  2.4811e-01,  7.4904e-02, -1.2648e-01,\n",
       "                       2.6217e+00, -5.5375e-01,  3.5655e+00, -3.7362e-02,  1.6322e-01,\n",
       "                      -2.7396e+00,  2.6287e+00,  1.7813e+00,  1.8594e+00, -1.8487e+00,\n",
       "                      -6.3057e-01,  7.7915e-03, -5.4741e-02, -3.7239e+00, -2.8738e-01,\n",
       "                      -2.2844e-01, -4.8132e-01, -8.5858e-02, -2.9252e+00, -1.1894e+00,\n",
       "                      -8.6585e-01, -2.1824e+00,  2.7286e+00, -1.3231e+00,  2.2091e+00,\n",
       "                      -1.4764e+00,  3.9068e-02, -1.1998e+00, -1.0390e+00, -8.1263e-02,\n",
       "                      -1.2350e-02,  3.2974e+00,  4.4804e+00,  7.9832e+00, -4.2731e-01,\n",
       "                      -1.6582e+00, -3.7713e-01, -1.7628e-01], device='cuda:0')),\n",
       "             ('module.stage2.15.reparam_conv.weight',\n",
       "              tensor([[[[ 1.2980e-01]],\n",
       "              \n",
       "                       [[ 3.5003e-04]],\n",
       "              \n",
       "                       [[ 1.0051e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 3.0027e-03]],\n",
       "              \n",
       "                       [[ 6.7044e-03]],\n",
       "              \n",
       "                       [[-2.1361e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 8.9326e-02]],\n",
       "              \n",
       "                       [[ 5.4367e-02]],\n",
       "              \n",
       "                       [[ 6.2983e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 2.5026e-02]],\n",
       "              \n",
       "                       [[-9.1330e-02]],\n",
       "              \n",
       "                       [[ 1.2262e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-5.0270e-02]],\n",
       "              \n",
       "                       [[-6.7188e-03]],\n",
       "              \n",
       "                       [[ 7.1781e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-6.9782e-02]],\n",
       "              \n",
       "                       [[ 6.8494e-02]],\n",
       "              \n",
       "                       [[-3.0905e-03]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 2.7832e-02]],\n",
       "              \n",
       "                       [[-9.4625e-03]],\n",
       "              \n",
       "                       [[-5.4165e-03]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-4.1766e-02]],\n",
       "              \n",
       "                       [[ 6.5864e-05]],\n",
       "              \n",
       "                       [[-2.7679e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[-3.9129e-02]],\n",
       "              \n",
       "                       [[-2.1674e-02]],\n",
       "              \n",
       "                       [[ 1.8500e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 6.5643e-04]],\n",
       "              \n",
       "                       [[ 5.5704e-02]],\n",
       "              \n",
       "                       [[-3.2183e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-9.0767e-03]],\n",
       "              \n",
       "                       [[ 3.3783e-02]],\n",
       "              \n",
       "                       [[-4.1305e-02]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-1.3029e-01]],\n",
       "              \n",
       "                       [[ 1.5418e-02]],\n",
       "              \n",
       "                       [[-1.6850e-03]]]], device='cuda:0')),\n",
       "             ('module.stage2.15.reparam_conv.bias',\n",
       "              tensor([ 1.3893, -1.5842,  0.5602,  0.1888, -0.4696,  0.7737,  1.4363, -2.2516,\n",
       "                      -0.2602,  1.6160,  0.0216,  1.4271,  2.3171, -0.3180,  0.1781, -0.3542,\n",
       "                       1.8434, -0.6067,  1.1568,  1.9707,  1.1322, -1.7487, -1.8775,  0.9165,\n",
       "                       1.4159,  0.1105,  3.8747, -0.5257,  1.5398, -0.3275,  0.3167,  1.2254,\n",
       "                       0.6961,  0.1037,  2.1809,  0.1545,  1.5107,  2.8205, -1.1859,  1.6460,\n",
       "                      -1.0737, -0.4015,  0.7209,  1.7689,  1.4955,  0.7215, -0.4789, -0.0429,\n",
       "                       1.3764,  1.3411,  0.9506, -0.1726,  0.3386,  2.4839,  0.8824,  0.8124,\n",
       "                      -0.0924,  0.5980,  1.0968, -0.8729,  0.0157, -0.0692, -1.1080, -1.9210,\n",
       "                      -0.9858,  1.7620,  0.8133,  0.9988,  0.3950,  0.3902,  0.4147, -0.1045,\n",
       "                      -0.6993, -0.7083, -0.1651,  0.3939,  1.8209,  2.2690, -0.2826,  0.1433,\n",
       "                      -0.0306,  1.1973,  0.3397,  0.5570,  2.2104,  0.6869, -0.9405, -0.4337,\n",
       "                       2.9721,  1.1512, -2.2565,  1.3968, -1.8424,  1.8642,  2.4564, -0.1309,\n",
       "                      -1.5149,  0.2115,  1.4716,  2.9090, -0.1845,  2.0996,  1.5741, -1.0809,\n",
       "                      -0.2875,  1.3480,  0.5061,  0.2296,  1.1961,  1.3501,  2.0901,  3.4611,\n",
       "                       2.2897, -2.5600, -0.5603, -0.1971,  1.7415,  0.1199, -1.2090, -0.1026,\n",
       "                       1.5608,  0.3634,  1.5701,  0.3061, -0.0939,  0.8708,  2.1496, -1.9239],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage3.0.reparam_conv.weight',\n",
       "              tensor([[[[-0.9549, -0.7857,  0.0617],\n",
       "                        [-0.7286, -0.3571,  0.7107],\n",
       "                        [ 0.0103,  0.6950,  0.9092]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.5739,  0.3309,  0.3691],\n",
       "                        [ 0.2276,  0.6002,  0.5527],\n",
       "                        [ 0.4306,  0.6371,  0.4949]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2192,  0.2536,  0.1377],\n",
       "                        [ 0.2634,  0.0514,  0.4713],\n",
       "                        [ 0.0568,  0.3963,  0.3407]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.4021, -0.0792,  0.2263],\n",
       "                        [-1.0762,  0.4014,  0.6580],\n",
       "                        [-1.0181,  0.2861,  0.4554]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0702,  0.0981,  0.1192],\n",
       "                        [ 0.0633,  0.2224,  0.2074],\n",
       "                        [ 0.0468,  0.1715,  0.1977]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0514,  0.3885,  0.1884],\n",
       "                        [ 0.2087,  0.6449,  0.4668],\n",
       "                        [ 0.0277,  0.3993,  0.3452]]]], device='cuda:0')),\n",
       "             ('module.stage3.0.reparam_conv.bias',\n",
       "              tensor([ 2.7523e-01,  6.3681e-02,  5.7960e-03, -1.1319e-01, -5.9104e-02,\n",
       "                       3.8353e+00,  2.7056e-01, -1.0246e-01, -2.3196e-01,  2.0219e-01,\n",
       "                      -3.7051e-01, -1.8180e+00,  4.5113e+00, -5.7515e-02, -2.8758e-03,\n",
       "                       4.2058e-01,  4.5834e+00, -1.9067e-01,  2.4121e+00,  2.1809e+00,\n",
       "                       1.2780e+00, -6.4103e-02,  2.3953e+00,  2.0490e+00,  1.6261e+00,\n",
       "                      -8.5571e-01,  3.9381e+00, -3.1666e-01, -2.2374e-01, -1.1306e-01,\n",
       "                      -1.7799e-01,  4.9991e+00,  3.5398e-01, -3.0292e-01,  5.3319e+00,\n",
       "                       3.1088e-01, -1.1584e-02, -1.5306e-01, -3.9521e-02,  4.1512e+00,\n",
       "                      -2.8046e-01,  2.3706e+00, -8.8278e-01,  5.7934e+00,  6.1715e-03,\n",
       "                       2.9142e+00, -1.1514e-01, -1.8831e-01,  3.9215e+00,  9.2951e-03,\n",
       "                       2.0748e+00,  2.7662e-02, -1.0817e-01, -6.8883e-01,  1.1519e-02,\n",
       "                      -4.8269e-01,  2.3666e+00,  2.5631e+00, -1.8837e-01,  5.6124e-02,\n",
       "                      -4.6450e-01, -1.2353e-01, -8.8762e-01,  7.7241e-02, -5.0678e-02,\n",
       "                      -2.2368e-01,  3.8760e+00,  2.8868e+00,  1.4162e-01,  1.5273e-01,\n",
       "                      -3.8288e-01,  1.9414e-01, -1.1352e-01, -2.5359e-01, -3.7822e-02,\n",
       "                      -3.5677e-01, -7.2423e-02,  3.5653e+00,  8.4555e-02, -1.2802e-01,\n",
       "                      -2.7694e-01, -2.5623e-01, -8.3019e-02, -2.9280e-02,  2.4174e+00,\n",
       "                      -1.6701e-01, -1.5814e-01, -2.0155e-01,  6.3863e+00,  8.7126e-02,\n",
       "                       4.6179e+00,  3.4319e+00, -5.3005e-02,  3.8397e+00,  4.0317e+00,\n",
       "                      -1.2865e+00, -9.0258e-02,  3.2090e-02,  2.7872e-01, -6.9662e-01,\n",
       "                       4.7313e+00, -1.2440e-01,  3.2404e+00,  3.8698e+00,  3.7224e-02,\n",
       "                       4.5923e+00, -7.2225e-01, -1.1576e-01, -2.4028e-01,  4.4935e+00,\n",
       "                       4.3832e+00, -5.7664e-03,  3.5407e+00, -5.7988e-03, -7.6904e-01,\n",
       "                      -4.6677e-01,  4.7273e+00,  6.3397e-01, -1.0092e+00, -5.9739e-01,\n",
       "                       2.4875e+00,  6.3239e+00,  4.8939e+00,  8.3325e-02,  2.8003e+00,\n",
       "                       6.5445e-01,  3.8504e-01, -7.2218e-02], device='cuda:0')),\n",
       "             ('module.stage3.1.reparam_conv.weight',\n",
       "              tensor([[[[ 0.0039]],\n",
       "              \n",
       "                       [[-0.0049]],\n",
       "              \n",
       "                       [[ 0.0008]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0110]],\n",
       "              \n",
       "                       [[-0.0184]],\n",
       "              \n",
       "                       [[ 0.0366]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0016]],\n",
       "              \n",
       "                       [[-0.0549]],\n",
       "              \n",
       "                       [[ 0.0638]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0102]],\n",
       "              \n",
       "                       [[-0.0538]],\n",
       "              \n",
       "                       [[ 0.0146]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0166]],\n",
       "              \n",
       "                       [[ 0.0575]],\n",
       "              \n",
       "                       [[ 0.0801]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0172]],\n",
       "              \n",
       "                       [[-0.0440]],\n",
       "              \n",
       "                       [[-0.1632]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0111]],\n",
       "              \n",
       "                       [[ 0.0356]],\n",
       "              \n",
       "                       [[-0.0388]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0167]],\n",
       "              \n",
       "                       [[-0.0028]],\n",
       "              \n",
       "                       [[-0.0099]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0178]],\n",
       "              \n",
       "                       [[-0.0718]],\n",
       "              \n",
       "                       [[-0.0179]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0266]],\n",
       "              \n",
       "                       [[ 0.0242]],\n",
       "              \n",
       "                       [[-0.0206]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1410]],\n",
       "              \n",
       "                       [[-0.0015]],\n",
       "              \n",
       "                       [[ 0.0074]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0006]],\n",
       "              \n",
       "                       [[ 0.0034]],\n",
       "              \n",
       "                       [[ 0.0036]]]], device='cuda:0')),\n",
       "             ('module.stage3.1.reparam_conv.bias',\n",
       "              tensor([ 1.5927,  0.5847, -0.6304,  0.4747,  1.2116,  1.6402,  2.6239,  0.4655,\n",
       "                       0.3646,  1.1236,  0.4277, -0.2051,  2.9486,  0.3270,  0.1022,  0.4030,\n",
       "                       1.6413,  1.7636,  0.4061,  1.7699, -1.3389, -1.0896, -0.2229,  0.3390,\n",
       "                      -0.6270, -0.5240, -1.1853,  0.6681,  2.5196, -0.0786,  0.3898,  1.3236,\n",
       "                      -0.0249,  0.8360, -3.1072,  1.4108,  1.3265,  2.3674,  1.4743,  1.4472,\n",
       "                       0.8573,  1.0068, -0.0960,  0.2276, -1.5836,  1.5664, -0.4346,  0.6035,\n",
       "                      -0.0875,  2.4940,  1.0787, -1.2018, -0.6233, -0.7902, -0.0445, -0.3320,\n",
       "                       0.1401,  2.6316,  0.5834,  1.1554,  0.4462, -0.6615,  0.8096,  3.4016,\n",
       "                       0.8722,  0.8147,  0.8639,  0.3317,  0.9367,  2.5575,  1.6826, -0.0843,\n",
       "                       0.3251,  1.7438, -0.5035, -0.1869, -1.2471,  0.2999, -1.5975,  1.1000,\n",
       "                       1.4825,  1.6917,  1.4338,  1.1479,  1.1032,  0.8551,  0.7614,  2.0797,\n",
       "                       0.4258,  0.6639,  1.0892,  1.3692,  0.7013,  0.2531,  1.5324,  0.7465,\n",
       "                       0.4229,  1.2083, -1.7398,  2.5675,  0.5679,  1.5566, -0.1819,  0.4478,\n",
       "                      -0.1752, -0.4264,  3.7371,  1.2909,  0.7980,  0.4158,  2.9931, -2.2943,\n",
       "                      -0.3135,  0.4474,  0.4419,  1.0123,  0.5892,  2.3335,  1.9367,  1.8945,\n",
       "                       1.4214, -0.0573,  3.5389, -3.6162, -0.1603, -0.6738,  1.4587,  0.1711,\n",
       "                      -3.7278,  0.2344,  2.0691,  1.4889,  0.1327, -4.2688,  1.3297,  1.4802,\n",
       "                       1.8594,  0.7766, -0.3743,  2.0006,  2.6764,  0.6205,  1.6695, -0.1272,\n",
       "                      -2.1772,  0.3146,  1.2719,  2.6624,  1.1923,  2.2131,  1.2998,  0.5612,\n",
       "                       1.5723,  0.9550,  0.6536,  0.6430,  1.9913,  1.8186,  1.3185,  2.0296,\n",
       "                       1.0891, -1.8732, -0.0395,  0.2547,  1.5829,  0.9050,  1.3950, -0.1321,\n",
       "                       0.3613, -2.6210,  0.6239,  2.0119,  1.9948, -0.2492, -0.0942,  3.6503,\n",
       "                       4.3402,  1.9187,  1.4728, -1.0147,  1.3502,  1.8586,  0.8741, -0.1213,\n",
       "                       0.8755,  0.9785,  0.2813, -0.2675,  2.3191,  0.1931,  2.3023, -1.4144,\n",
       "                       1.7254, -0.6075,  0.7120,  0.2370,  2.0701,  1.5071, -0.7947,  0.9173,\n",
       "                       0.6112,  1.3698, -0.0077,  2.9888, -0.8483,  1.9667,  1.1967,  0.6557,\n",
       "                       2.0278,  0.3042,  1.5279,  0.1364,  1.2025,  3.5578,  0.8969,  0.2407,\n",
       "                      -0.5358,  1.0757,  2.0204,  0.9659,  1.2028,  0.4860,  0.1861, -0.1067,\n",
       "                       1.6001,  0.5631,  0.4546, -0.2613,  0.2117,  0.0623, -1.6883,  0.1566,\n",
       "                       0.5908, -0.5304,  3.4063,  2.9451,  1.8589,  0.8617,  1.9966,  0.3351,\n",
       "                       0.4650, -0.4499, -0.2905,  0.2083, -0.0553,  0.7506,  2.3659,  0.9076,\n",
       "                      -0.5806, -1.1859,  0.8268,  0.6486, -0.3024,  2.0225,  3.5098,  1.2527],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage3.2.reparam_conv.weight',\n",
       "              tensor([[[[-2.0204e-01, -3.1930e-01,  3.1564e-01],\n",
       "                        [-1.1833e+00, -7.0904e-01,  1.7463e+00],\n",
       "                        [-1.7921e-01, -3.4740e-01,  4.4889e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-5.9307e-01, -1.1610e+00, -4.5182e-01],\n",
       "                        [-7.9883e-02, -3.2669e-01, -6.6265e-02],\n",
       "                        [ 8.0037e-01,  1.3231e+00,  6.9834e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.2798e-03, -8.1110e-02,  1.8934e-02],\n",
       "                        [-8.4349e-02,  1.5006e+00, -1.1322e-01],\n",
       "                        [-4.4410e-04, -1.1670e-01, -5.3554e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-3.9610e-01, -7.5268e-01, -4.1792e-01],\n",
       "                        [-2.2146e-01, -6.5237e-01, -3.3065e-01],\n",
       "                        [ 6.8386e-01,  1.2920e+00,  7.1415e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-2.2206e-01, -3.4704e-01,  2.5295e-01],\n",
       "                        [-1.0889e+00, -8.1669e-01,  1.8453e+00],\n",
       "                        [-1.2862e-02, -1.5297e-01,  3.2541e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.2480e+00, -1.3862e-01,  1.4039e+00],\n",
       "                        [-4.3464e-01, -2.1100e-01,  3.4041e-01],\n",
       "                        [ 1.5379e+00,  1.5486e-01, -1.7528e+00]]]], device='cuda:0')),\n",
       "             ('module.stage3.2.reparam_conv.bias',\n",
       "              tensor([ 0.2089, -0.2427,  0.4423, -2.5995, -0.4096,  1.5258,  0.2220,  0.0701,\n",
       "                       2.7513,  0.3580,  0.2341, -0.7267,  0.6581,  2.0282,  0.8121,  0.5215,\n",
       "                       0.6501, -0.0289,  1.9122, -0.3158,  0.5300, -0.5824, -0.8459, -0.5122,\n",
       "                       0.5445, -0.5216,  0.0804,  0.6480, -0.0529,  0.8579, -1.8129,  0.1293,\n",
       "                      -0.3816,  0.8517, -0.1300,  0.9053,  0.1397,  0.4450,  1.4137,  0.2360,\n",
       "                       0.2641,  0.7807,  1.3646, -0.0446,  2.0633, -1.8416,  1.1939, -0.1075,\n",
       "                       1.7683,  1.7913, -0.6965, -0.0792,  0.2144,  0.1393,  2.1547,  2.6943,\n",
       "                       2.3454,  2.4627,  1.1873, -0.3283, -0.2419,  2.7203,  1.1743,  0.2172,\n",
       "                       0.5901, -0.7161,  0.7915,  0.0813, -0.5899,  0.2763,  0.6496,  2.7499,\n",
       "                       1.4521,  1.1283, -0.7036, -0.3857, -0.1307,  3.8136, -0.3835,  0.1578,\n",
       "                       2.3941,  3.3524,  0.2169, -0.1047,  0.0700,  1.7339,  0.1224, -0.3046,\n",
       "                      -0.8070, -1.4585,  0.8507, -0.5851,  0.5648, -0.2019,  1.3922, -0.9492,\n",
       "                       0.2624,  0.0956, -0.7551,  0.2809,  4.2546,  0.3281,  0.0934,  2.4876,\n",
       "                       1.5967,  1.5942,  1.0165,  0.9026, -0.5728,  0.0457, -0.1194, -0.0774,\n",
       "                      -0.4613, -0.2116, -0.9944,  0.0160, -0.3142, -1.7650,  0.1502,  4.0747,\n",
       "                       0.6698,  3.9099,  2.1424,  2.6065, -0.7421,  0.7135,  1.0958, -0.7417,\n",
       "                       0.9485, -0.2200, -0.2909,  1.3998, -0.0141, -0.1189,  0.4055,  2.2108,\n",
       "                       1.7707, -0.8614,  1.2278, -0.1612, -0.1410,  1.4748,  0.0465, -0.0906,\n",
       "                      -0.0408,  0.1445,  1.1818, -0.2099, -0.6950, -0.3901,  1.0472,  0.8245,\n",
       "                       0.3450,  0.0829,  0.1480,  0.0896,  0.0310,  0.4073,  0.6555,  0.5892,\n",
       "                      -0.4892,  0.1341, -0.1045, -0.2057,  0.8029,  1.1077,  2.4215, -1.2265,\n",
       "                      -0.7192, -0.4938,  0.8845,  0.3075,  0.6884, -1.3503,  0.3658, -0.1380,\n",
       "                       2.0488, -0.0776, -0.6295,  2.3012, -1.4656,  2.4389, -0.7726, -0.0198,\n",
       "                      -0.0309,  0.4190,  0.0529, -2.2726, -0.0700,  0.9332,  0.8101,  0.5163,\n",
       "                       0.1652,  0.0286, -0.0444,  2.1065, -0.0081, -0.0069, -0.0163,  2.2465,\n",
       "                       0.5721, -0.0419, -0.5512,  0.6281,  1.0558,  0.2626,  3.2473, -0.2193,\n",
       "                      -0.1163, -0.0537,  1.5419,  0.0185,  0.0102,  1.4104,  1.2613,  0.3952,\n",
       "                      -1.4332, -0.1983, -0.2463,  0.0264,  2.3649, -0.0678,  0.3915,  0.2843,\n",
       "                       0.3534, -0.2889,  2.3173, -0.2021,  0.5435, -0.0719,  0.5556, -0.1930,\n",
       "                       0.4260,  0.2898, -0.2263, -0.3405,  1.7716,  0.1079, -0.5233,  0.1152,\n",
       "                       0.1394,  0.6062, -0.2288,  1.0173, -1.1805,  0.1957, -0.6304,  0.4611,\n",
       "                      -2.1263,  1.3157,  0.6237, -0.8752, -0.6631,  0.1871,  0.0104,  3.3316],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage3.3.reparam_conv.weight',\n",
       "              tensor([[[[ 0.0124]],\n",
       "              \n",
       "                       [[ 0.0164]],\n",
       "              \n",
       "                       [[ 0.0261]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0220]],\n",
       "              \n",
       "                       [[ 0.0256]],\n",
       "              \n",
       "                       [[ 0.0315]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1416]],\n",
       "              \n",
       "                       [[-0.0278]],\n",
       "              \n",
       "                       [[-0.0012]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0009]],\n",
       "              \n",
       "                       [[-0.0066]],\n",
       "              \n",
       "                       [[-0.0137]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0053]],\n",
       "              \n",
       "                       [[-0.0701]],\n",
       "              \n",
       "                       [[ 0.2320]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0314]],\n",
       "              \n",
       "                       [[ 0.0291]],\n",
       "              \n",
       "                       [[-0.0706]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1606]],\n",
       "              \n",
       "                       [[-0.0112]],\n",
       "              \n",
       "                       [[ 0.0187]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0508]],\n",
       "              \n",
       "                       [[ 0.0142]],\n",
       "              \n",
       "                       [[ 0.0304]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0320]],\n",
       "              \n",
       "                       [[-0.0426]],\n",
       "              \n",
       "                       [[ 0.0202]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0343]],\n",
       "              \n",
       "                       [[ 0.0640]],\n",
       "              \n",
       "                       [[-0.0444]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0177]],\n",
       "              \n",
       "                       [[-0.1046]],\n",
       "              \n",
       "                       [[ 0.0072]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0056]],\n",
       "              \n",
       "                       [[ 0.0135]],\n",
       "              \n",
       "                       [[ 0.1857]]]], device='cuda:0')),\n",
       "             ('module.stage3.3.reparam_conv.bias',\n",
       "              tensor([ 0.1080,  1.4084,  2.2106, -0.0256, -0.6380,  0.5644, -1.7641, -2.4650,\n",
       "                      -1.0727,  0.5852,  0.5387, -0.2367,  1.0114,  0.3436, -0.1331, -2.1725,\n",
       "                       1.7956,  2.0583,  0.9009,  0.3509, -2.3242,  0.6088,  0.8102, -1.0275,\n",
       "                       0.4725,  0.7998,  1.3979,  1.8040,  0.5176, -0.8122,  1.1477,  1.0454,\n",
       "                       1.4329,  0.6350,  1.5307, -0.4853,  1.0326, -0.3033, -0.7812,  1.4902,\n",
       "                      -2.2834,  0.7737,  3.0808,  0.3854, -0.1787,  0.9419,  2.6418,  0.1301,\n",
       "                       2.2738, -0.0256, -0.7925,  2.3629,  1.0235,  1.9515,  0.5165, -0.0263,\n",
       "                       2.1791, -1.4583, -1.4704,  1.5288,  0.8564, -0.3775,  0.1914, -1.4601,\n",
       "                       0.7574,  0.3760, -1.3627,  0.9350,  0.0549, -0.6366,  3.6830, -0.2573,\n",
       "                      -0.1665, -0.9019,  1.0878,  0.7257, -1.1476, -0.0591,  1.5928, -0.0970,\n",
       "                      -0.1300,  1.5683, -0.1637,  1.0462, -0.2104, -1.0801,  0.6701, -1.0366,\n",
       "                       1.3618,  0.0936, -0.5730,  0.0811,  0.0470,  0.8608, -0.2195,  3.1048,\n",
       "                      -0.0585,  1.6526,  0.3360,  1.0014, -0.2332,  0.3531,  0.5847,  0.1390,\n",
       "                      -2.0195,  0.6416,  0.2514,  0.1603,  1.7565, -1.4877,  3.3827,  0.8546,\n",
       "                      -0.0348,  0.4028,  1.3717, -0.9561, -0.2214, -0.0668,  0.5865, -4.2443,\n",
       "                       1.5567, -1.0097,  2.2800,  2.6786,  1.0259, -1.6741,  2.3621, -1.3472,\n",
       "                       0.3070, -0.3764,  2.5491,  1.5372,  1.3106,  0.0639, -3.8580, -0.7177,\n",
       "                      -0.8384, -0.1953,  0.0144,  0.6493,  0.0896,  0.0228,  2.9266,  1.0472,\n",
       "                       1.3536,  0.9117,  0.5040,  0.5839, -0.1946,  0.9904,  0.1955,  0.1095,\n",
       "                      -2.9764,  2.3502,  0.0586,  3.3221, -0.7904,  0.1600,  0.0392, -0.6355,\n",
       "                       1.4111,  1.5207,  1.9954,  1.3929,  0.2461, -0.2657,  1.4175,  0.9414,\n",
       "                       1.3643,  0.5668,  0.7076, -1.9911,  0.2074,  0.5093, -0.6034, -0.2345,\n",
       "                      -0.3031, -0.1675, -0.9285, -0.3963,  1.0964, -2.0398,  1.9196, -1.2008,\n",
       "                       1.5311,  1.1813,  0.3527,  0.7041,  0.1880, -1.1184,  1.6863, -0.8541,\n",
       "                      -0.0292, -0.5413,  0.7708,  0.5201, -0.4177, -0.2540,  2.3253,  0.5745,\n",
       "                      -0.1353,  3.2139, -0.3629,  0.7771, -1.0123,  1.5580, -2.2166, -1.8779,\n",
       "                      -0.5544,  2.2881,  0.5430, -3.1733,  0.3098,  0.4849, -0.9025,  0.4779,\n",
       "                      -1.0141, -0.5157,  0.8104,  3.0401,  0.9768,  0.8427, -1.2482, -1.9044,\n",
       "                       0.7348, -0.3340,  1.0852,  0.8155,  1.0561,  0.1672,  0.5853, -0.1314,\n",
       "                      -0.5673, -1.9318, -1.9777,  0.7644, -0.8374,  0.0882,  1.3712,  1.1557,\n",
       "                      -1.6713, -0.9844, -0.2737, -2.1820,  2.4761,  0.4716,  1.0375,  0.4432,\n",
       "                       0.1921,  0.0970,  1.4445, -0.2678,  0.7582, -0.8404, -0.1748, -1.0931],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage3.4.reparam_conv.weight',\n",
       "              tensor([[[[-0.4739, -0.9408, -0.9563],\n",
       "                        [ 0.3822,  0.7766, -0.7480],\n",
       "                        [ 0.4634,  0.1898, -0.4486]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.4861, -0.4200,  0.1206],\n",
       "                        [-0.3662, -0.0539,  1.0238],\n",
       "                        [ 0.1899,  0.6573,  0.1926]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.3249, -0.2234, -0.2821],\n",
       "                        [-0.2910,  1.7665, -0.1514],\n",
       "                        [-0.2842, -0.3809, -0.2048]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.5580, -1.1019, -0.5705],\n",
       "                        [ 0.3769,  0.7665, -0.9364],\n",
       "                        [ 0.3071,  0.6603, -0.5861]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0672, -0.1833, -0.0523],\n",
       "                        [-0.4021,  1.8954, -0.2919],\n",
       "                        [-0.0864, -0.2538, -0.0781]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.6780,  0.7576,  0.4444],\n",
       "                        [ 0.2617,  0.2159,  0.0020],\n",
       "                        [ 0.0897, -0.3254,  0.0966]]]], device='cuda:0')),\n",
       "             ('module.stage3.4.reparam_conv.bias',\n",
       "              tensor([ 6.3493e-01, -5.6426e-01,  2.8704e+00,  3.4196e-01,  2.2361e-01,\n",
       "                      -4.4457e-01, -1.5045e-01, -2.3374e-02,  1.6015e+00,  2.5705e+00,\n",
       "                       3.7114e-02,  2.7416e-01, -2.6944e+00,  6.3959e-01, -1.0246e+00,\n",
       "                       9.7292e-03,  1.5781e-02, -1.3015e+00,  1.6962e-01,  2.5080e-02,\n",
       "                       1.3336e+00, -1.2647e-01,  1.4889e+00, -1.8209e+00,  9.6029e-01,\n",
       "                      -2.7740e-01,  3.4189e-01,  3.5014e+00,  1.7396e+00,  4.7466e-03,\n",
       "                       2.3784e+00,  1.4134e-01, -7.4866e-01, -3.4179e-01,  2.6389e+00,\n",
       "                      -7.4132e-01,  4.1641e-01,  5.4996e-01,  4.2482e-02, -9.6755e-01,\n",
       "                      -2.5587e-01, -1.5510e+00,  9.1855e-01,  7.6466e-01,  1.4542e-01,\n",
       "                      -3.3435e-01,  2.0238e+00,  1.7369e+00, -6.8408e-01,  5.7025e-01,\n",
       "                      -3.0252e-01,  1.1407e+00,  2.5012e+00,  1.5738e+00, -1.7146e+00,\n",
       "                      -4.7714e-01,  1.6734e-01, -6.7045e-01, -1.3948e+00, -1.2508e-01,\n",
       "                       1.7076e+00, -1.1332e+00, -6.3446e-02, -4.1562e-01, -5.1923e-01,\n",
       "                       2.6406e-01, -9.9275e-01,  7.6976e-01, -2.1097e-01,  7.3599e-03,\n",
       "                       3.6310e+00, -2.8961e-01,  1.9476e+00, -1.8168e-01,  2.2161e-01,\n",
       "                      -6.9586e-01,  1.4218e+00,  2.3558e+00, -1.3750e+00, -1.1222e-01,\n",
       "                       1.5392e+00,  3.9723e-01, -1.1570e+00,  2.3340e+00, -1.0132e+00,\n",
       "                       2.3925e-01,  1.9813e-01, -5.7201e-01,  1.8664e-01,  3.7757e-01,\n",
       "                       7.3454e-01,  6.0607e-01, -8.4872e-02,  1.4837e+00, -1.3228e-01,\n",
       "                       1.2805e+00,  1.5382e+00, -2.2633e+00, -1.2508e+00, -8.3668e-02,\n",
       "                      -1.6210e-01, -4.1283e-01,  1.3348e-01, -6.9833e-01, -1.3540e+00,\n",
       "                      -5.3080e-02,  2.2669e-01, -1.5701e-01,  2.2722e+00, -1.3203e+00,\n",
       "                       2.3249e+00,  3.6590e+00, -3.1431e-01, -4.2149e-02,  1.1480e+00,\n",
       "                       2.4629e+00,  4.7304e-03, -4.2428e-01,  5.9158e-01, -3.5636e-01,\n",
       "                      -6.7177e+00, -2.8628e+00,  2.0121e+00,  5.0736e-01, -4.7877e+00,\n",
       "                      -9.2924e-01,  8.8414e-02, -1.1306e+00,  3.1121e+00, -1.1553e+00,\n",
       "                       1.2879e+00, -3.5024e-01,  4.0740e-01,  4.5866e-01, -1.5371e-01,\n",
       "                      -1.5127e+00, -4.6788e-01, -1.0729e+00,  5.2962e-01,  5.2794e-01,\n",
       "                       4.8013e-01, -3.2814e-01, -8.9011e-01, -2.0155e+00, -4.4821e-02,\n",
       "                      -9.8101e-01,  2.2899e+00, -2.0265e+00, -7.4950e-02,  2.9622e+00,\n",
       "                      -3.0379e-01, -1.7687e+00, -7.3651e-02,  1.6886e+00,  2.2071e+00,\n",
       "                       3.1804e+00,  5.9204e-01, -1.3441e+00,  2.2772e+00,  4.9333e-01,\n",
       "                       5.9777e-01,  1.7438e+00,  9.7712e-01, -2.0532e+00,  5.8458e-01,\n",
       "                       4.8241e-01,  1.5507e+00, -2.7241e-01, -1.2573e+00,  8.8685e-01,\n",
       "                       1.7269e+00,  5.8621e-02,  1.5672e-01, -4.1429e-01,  1.7066e-01,\n",
       "                       1.8607e-01, -5.9172e-01, -1.0922e-01, -1.2883e+00, -2.0841e+00,\n",
       "                       2.3279e-02,  1.2282e-02, -2.8513e+00, -6.4116e-01,  3.5107e-01,\n",
       "                      -1.6257e+00,  1.7971e+00, -1.3575e+00,  3.2234e+00, -3.5113e-01,\n",
       "                       4.1752e+00, -3.3619e-01,  9.7661e-01, -5.4319e-01, -1.7710e+00,\n",
       "                      -3.3945e-01, -1.3123e+00,  5.9233e-01, -2.8137e+00, -1.7161e+00,\n",
       "                      -3.2538e-01,  1.4599e+00,  2.9175e-01,  2.1239e+00,  4.5984e-01,\n",
       "                       2.3450e+00, -1.7293e-01, -2.2156e-02,  1.5862e+00,  9.3254e-01,\n",
       "                      -2.7022e+00, -2.0325e+00, -5.5054e-04, -6.1910e-01, -3.5837e-01,\n",
       "                      -9.4154e-01, -4.0299e-01, -8.0622e-02,  1.1507e+00,  9.0852e-01,\n",
       "                       8.4005e-02,  4.2442e-01,  1.8876e+00, -7.0655e-01, -8.3686e-01,\n",
       "                       4.2176e+00,  1.6923e+00,  1.0362e+00, -3.2953e-01, -6.7939e-02,\n",
       "                       1.7950e-01,  1.8780e+00,  1.5213e-01, -6.2817e-01,  1.0578e+00,\n",
       "                      -2.8282e-01, -1.5464e-01,  9.2517e-01, -6.0087e-01, -1.3045e+00,\n",
       "                       7.2284e-02,  7.2957e-01,  2.6082e-01, -2.9879e-02,  1.6251e+00,\n",
       "                       1.7461e+00,  1.4109e+00,  3.1211e-02, -6.7122e-01, -1.2459e+00,\n",
       "                      -6.5377e+00, -8.9800e-02,  1.0885e-01,  7.9855e-01,  1.3121e+00,\n",
       "                      -5.4296e-02], device='cuda:0')),\n",
       "             ('module.stage3.5.reparam_conv.weight',\n",
       "              tensor([[[[ 0.2112]],\n",
       "              \n",
       "                       [[-0.0985]],\n",
       "              \n",
       "                       [[ 0.0034]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.1710]],\n",
       "              \n",
       "                       [[ 0.0044]],\n",
       "              \n",
       "                       [[ 0.0068]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0140]],\n",
       "              \n",
       "                       [[ 0.0369]],\n",
       "              \n",
       "                       [[ 0.0089]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0034]],\n",
       "              \n",
       "                       [[-0.0479]],\n",
       "              \n",
       "                       [[-0.0704]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0327]],\n",
       "              \n",
       "                       [[ 0.0221]],\n",
       "              \n",
       "                       [[ 0.1745]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0185]],\n",
       "              \n",
       "                       [[ 0.0282]],\n",
       "              \n",
       "                       [[-0.0520]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0770]],\n",
       "              \n",
       "                       [[-0.0174]],\n",
       "              \n",
       "                       [[ 0.0066]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0932]],\n",
       "              \n",
       "                       [[ 0.0150]],\n",
       "              \n",
       "                       [[ 0.0427]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0429]],\n",
       "              \n",
       "                       [[-0.0162]],\n",
       "              \n",
       "                       [[ 0.0311]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0331]],\n",
       "              \n",
       "                       [[-0.1063]],\n",
       "              \n",
       "                       [[-0.0668]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0241]],\n",
       "              \n",
       "                       [[ 0.0141]],\n",
       "              \n",
       "                       [[ 0.0339]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0341]],\n",
       "              \n",
       "                       [[ 0.0151]],\n",
       "              \n",
       "                       [[-0.1094]]]], device='cuda:0')),\n",
       "             ('module.stage3.5.reparam_conv.bias',\n",
       "              tensor([ 1.8918e+00, -1.7560e+00, -2.2316e+00,  6.6336e-01, -5.2684e-01,\n",
       "                      -4.9602e-01,  8.5695e-01,  2.8381e-01, -8.6227e-01, -1.5562e+00,\n",
       "                       9.5637e-02, -4.0627e-01,  3.5975e-01, -4.1005e-02, -1.1675e+00,\n",
       "                       1.4300e+00,  1.8788e+00,  2.0016e+00,  5.9026e-01, -3.3878e-01,\n",
       "                      -2.0185e-01,  2.1000e+00,  8.2717e-01,  7.5479e-01,  6.6425e-01,\n",
       "                       1.6236e+00, -2.8235e-01,  1.2411e-01,  4.0389e+00, -2.2884e+00,\n",
       "                      -1.1836e-01, -1.3508e+00, -8.8138e-01, -4.1651e-01,  7.5168e-01,\n",
       "                       1.3979e+00, -3.5574e-01,  5.5556e-01,  1.2009e-01, -9.2434e-01,\n",
       "                       4.5317e-01,  1.7179e+00, -3.7681e-01, -1.4559e-01, -2.0746e+00,\n",
       "                       1.1040e+00, -8.1603e-01,  2.3911e+00,  3.9660e-01, -6.0974e-02,\n",
       "                       2.9564e-02,  8.3744e-01, -8.4375e-01,  9.2766e-01,  3.8269e-01,\n",
       "                      -9.8994e-02,  4.7429e-01,  2.0021e-01, -3.4320e+00,  2.8174e-01,\n",
       "                       9.0713e-01, -1.4011e-01, -9.7106e-01, -1.1084e+00,  8.9767e-01,\n",
       "                       5.3226e-01, -5.2343e-01,  1.7976e+00,  9.4368e-01, -1.8119e-01,\n",
       "                       4.1054e-01, -1.5480e+00, -4.3893e-01,  1.5653e+00, -3.4540e+00,\n",
       "                       8.1989e-01, -1.2701e+00, -6.1959e-01,  4.0101e-01,  5.2929e-01,\n",
       "                      -1.0674e+00, -1.5588e+00,  4.6323e-01,  9.9175e-01, -1.3825e+00,\n",
       "                      -1.0218e+00,  3.0015e-01,  7.0876e-01, -1.0583e-01, -1.0964e+00,\n",
       "                      -8.4162e-02, -1.6356e-01,  9.3640e-01, -4.8328e-01, -5.5222e-02,\n",
       "                       5.0515e-01,  2.0026e+00,  1.3659e+00,  1.2397e+00,  6.7030e-01,\n",
       "                      -2.0458e+00, -6.7157e-01, -1.0896e+00,  6.0888e-01,  1.1973e+00,\n",
       "                       2.3720e+00, -4.8454e-01,  1.2840e+00,  7.4586e-01, -1.6870e+00,\n",
       "                       8.3568e-01,  7.3306e-01, -3.6257e-01, -2.8852e-01,  1.5081e-01,\n",
       "                       1.6365e+00,  1.0156e+00, -1.2969e+00, -1.2198e+00, -1.2438e-01,\n",
       "                      -1.4573e+00,  3.6563e-01,  3.6479e-01, -8.1096e-02, -1.0052e+00,\n",
       "                       1.3202e+00,  8.6195e-01, -3.0118e-01,  7.8027e-01,  8.0428e-01,\n",
       "                      -5.5778e-03,  7.4231e-01, -7.9021e-01, -1.0589e-01, -1.6081e+00,\n",
       "                       5.8774e-01,  4.1020e-02, -1.9704e-01,  8.2246e-01,  1.3486e-02,\n",
       "                      -2.0906e-01, -4.4077e-01, -5.3720e-01,  9.8176e-01, -2.1452e+00,\n",
       "                       1.2052e+00,  8.7908e-01,  4.0228e-01, -1.9202e-01, -2.0370e+00,\n",
       "                      -2.1715e+00,  3.5190e-01,  7.3402e-01, -3.0354e-02,  1.0878e+00,\n",
       "                      -2.2377e+00,  3.2493e-01, -4.9657e-01,  1.3451e+00,  5.7042e-01,\n",
       "                      -1.1662e-01,  3.5042e+00,  2.9640e-01, -6.6888e-02,  9.9947e-01,\n",
       "                      -6.7169e-01, -1.5026e+00,  1.0622e-01,  1.7713e+00, -9.6506e-01,\n",
       "                      -1.0170e+00,  1.6885e+00,  7.9895e-02, -1.0841e+00, -2.5976e-01,\n",
       "                      -1.0264e+00, -1.2333e+00, -1.2492e+00, -2.3141e+00, -3.3220e-01,\n",
       "                      -7.8941e-01, -1.0981e+00, -7.5052e-01, -1.4699e+00,  1.9652e+00,\n",
       "                      -1.2342e+00,  2.6570e+00,  9.8524e-01, -4.5044e-01,  4.0601e-01,\n",
       "                       4.5471e-01, -6.1744e-01,  8.3984e-01, -1.3774e+00, -5.1358e-01,\n",
       "                      -1.3660e+00,  1.1593e+00,  6.2610e-01,  7.8382e-01, -7.5419e-01,\n",
       "                       5.2201e-01, -1.4012e+00,  4.2724e-01,  2.8519e+00, -1.4728e+00,\n",
       "                       3.3227e-01, -1.0620e+00, -2.4623e+00,  3.0262e-01, -2.0079e+00,\n",
       "                      -6.1436e-01,  1.5542e+00, -1.2000e-02,  6.8174e-01,  4.5388e-01,\n",
       "                      -1.6182e+00,  1.4407e+00,  1.4613e+00, -9.8817e-01, -9.4087e-01,\n",
       "                      -8.1936e-04, -1.9689e-01,  3.0609e-01, -8.5214e-01, -2.4634e-01,\n",
       "                      -1.7430e-01, -1.6810e-01,  1.6507e+00,  3.0518e-02, -1.4119e-01,\n",
       "                      -7.0608e-01, -1.1149e+00,  9.2714e-01,  5.7020e-01,  3.6151e-02,\n",
       "                       1.1599e+00,  3.7517e-01,  1.3132e+00, -1.4683e+00, -5.6926e-01,\n",
       "                      -3.8708e-01,  9.2238e-01, -1.3065e+00, -1.8382e+00, -2.3560e-01,\n",
       "                      -6.0957e-01,  6.3890e-01, -6.7703e-01, -4.7307e-01,  1.9489e+00,\n",
       "                       2.0796e+00,  4.4152e-01,  2.8639e-02,  1.4522e-01, -7.7214e-01,\n",
       "                      -1.2716e+00], device='cuda:0')),\n",
       "             ('module.stage3.6.reparam_conv.weight',\n",
       "              tensor([[[[ 0.1600, -0.2329, -0.4465],\n",
       "                        [-0.3521, -0.6626, -0.3294],\n",
       "                        [-0.4396, -0.1893,  0.2791]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0907,  0.0895,  0.0985],\n",
       "                        [ 0.0089,  1.4162, -0.0327],\n",
       "                        [ 0.0679,  0.0525,  0.0750]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.3176,  0.0807,  0.2898],\n",
       "                        [ 0.1283,  0.9195,  0.2337],\n",
       "                        [ 0.4038,  0.3846,  0.2385]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.4813,  0.6608,  0.3224],\n",
       "                        [ 0.1771, -0.6349,  0.1919],\n",
       "                        [-0.0988, -0.3542, -0.0439]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.3773, -0.2674, -0.2453],\n",
       "                        [-0.1797, -0.3051, -0.1546],\n",
       "                        [-0.3363, -0.2027, -0.2098]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.5365,  0.3993,  0.5359],\n",
       "                        [ 0.1893, -0.1449,  0.1784],\n",
       "                        [ 0.5319,  0.4273,  0.5479]]]], device='cuda:0')),\n",
       "             ('module.stage3.6.reparam_conv.bias',\n",
       "              tensor([ 2.6729e+00, -5.7632e-01, -1.8732e-01,  2.2115e-01, -2.6761e+00,\n",
       "                      -9.7126e-01, -9.0892e-01, -4.8881e-02, -4.8813e-01, -8.0726e-01,\n",
       "                       9.9955e-01, -1.9071e-02, -1.2301e+00, -1.0864e+00, -1.0601e+00,\n",
       "                      -3.0828e+00, -1.1370e-01,  1.3793e+00, -2.3784e+00,  1.2024e-01,\n",
       "                       2.2606e-01, -1.9479e-01,  1.0579e-01, -2.6655e-01, -4.4382e-01,\n",
       "                      -1.9004e+00, -4.1066e-01,  4.8946e+00,  4.0669e-01, -6.2106e-01,\n",
       "                      -1.2613e+00, -1.5204e+00, -1.5159e-01,  2.1428e+00, -1.0669e+00,\n",
       "                       3.5025e-02, -1.0282e+00,  5.6356e-01,  6.5235e-01,  1.4432e-02,\n",
       "                      -1.9147e+00, -1.3427e+00,  2.5065e-01,  1.6732e+00, -4.1011e-01,\n",
       "                       1.5858e+00, -4.8291e-01,  1.4549e-01, -1.2552e+00,  1.4376e-01,\n",
       "                      -8.8750e-01,  2.1310e+00,  2.0726e+00,  1.5183e-01, -1.9070e-01,\n",
       "                       5.4901e-02, -1.9872e-01,  1.3547e+00,  3.8223e-02,  1.0996e+00,\n",
       "                      -1.0949e-01, -8.5586e-02, -1.5530e+00,  1.6925e+00, -4.4978e-02,\n",
       "                       8.4953e-01,  1.2979e-01, -6.2172e-02, -3.1216e+00, -3.9750e-01,\n",
       "                       3.9219e+00, -7.1563e-01,  5.6469e+00,  1.3423e+00, -7.1091e-01,\n",
       "                       7.1673e-02, -8.7563e-01, -6.4676e-01, -1.7481e+00, -1.9862e+00,\n",
       "                       6.8014e-02, -1.0904e+00, -1.0564e+00, -2.6606e-01,  1.7893e-01,\n",
       "                      -2.2471e-01, -7.2461e-01, -1.2045e+00,  1.9359e+00, -4.9675e-01,\n",
       "                      -8.2960e-01, -8.8066e-01,  7.9484e-02,  9.7561e-01,  4.1029e-01,\n",
       "                      -3.1581e+00, -2.4267e-02,  2.3695e+00, -1.4271e+00, -1.5256e+00,\n",
       "                       1.2522e+00,  1.8138e-01, -1.1591e+00,  1.3233e-01, -2.3065e-01,\n",
       "                       2.2598e+00, -6.0050e-02,  2.5395e+00, -1.1093e+00, -2.8725e+00,\n",
       "                       1.2314e+00,  6.1639e-01, -1.2371e+00,  1.5063e+00, -9.6242e-01,\n",
       "                       1.1639e+00, -5.3339e-01, -1.2119e+00, -1.0230e+00, -8.0776e-01,\n",
       "                       1.4617e+00, -4.0455e-01, -1.9828e+00, -4.9518e-03, -1.2537e+00,\n",
       "                      -1.1909e+00,  1.1947e-01, -3.9978e-01,  1.8669e+00,  1.9467e-01,\n",
       "                      -2.1327e+00, -1.1671e+00, -4.8098e-02, -1.6302e+00, -2.3500e-01,\n",
       "                      -3.0872e-01, -8.4881e-01, -8.4752e-01, -4.4211e+00,  7.0952e-02,\n",
       "                      -5.8668e-01, -1.8779e-01, -2.0665e-01,  1.0137e+00, -4.2615e-01,\n",
       "                      -3.9011e+00, -2.2029e+00,  1.8657e-01,  1.2870e-01, -1.5158e+00,\n",
       "                      -7.7571e-01,  1.9740e+00, -1.1662e-01, -1.1738e-01,  1.4012e+00,\n",
       "                      -1.3650e+00, -1.3152e+00,  3.3483e-01, -1.3478e+00,  1.4663e-02,\n",
       "                      -7.4130e-01,  2.1977e+00, -3.5188e-01, -1.0226e-01, -1.4224e+00,\n",
       "                       2.3030e-01,  2.9569e-02, -4.0345e-01,  6.0115e-01, -9.2928e-01,\n",
       "                      -9.9695e-01, -9.5133e-01, -1.2864e+00, -3.1098e+00, -2.3635e+00,\n",
       "                       3.1067e+00,  1.4053e+00, -6.5707e-01, -7.5918e-01, -4.5988e-01,\n",
       "                      -2.1477e+00, -2.1080e+00,  1.9520e-01, -4.7299e-02,  1.0428e+01,\n",
       "                      -1.0337e+00,  8.8002e-01,  6.6387e-01,  1.7069e-02, -2.9624e-01,\n",
       "                      -8.5499e-03,  2.0572e-01, -1.2346e+00, -1.9455e-01,  1.6133e-01,\n",
       "                      -1.0038e+00,  6.0418e-02, -4.0514e-01, -1.0655e+00, -4.8382e-01,\n",
       "                      -2.2247e+00, -1.5058e+00, -4.0380e-01, -8.8997e-02,  4.5885e-01,\n",
       "                       2.6824e+00, -1.5608e+00, -1.5038e-01,  1.8581e+00, -1.9896e+00,\n",
       "                      -1.6661e+00,  3.7040e-02, -7.0816e-01,  6.4674e-01,  1.9315e+00,\n",
       "                      -9.1544e-01, -1.9516e-01, -1.8835e-01, -7.3057e-02, -2.8952e-01,\n",
       "                      -1.2358e+00, -5.9246e-02, -1.9414e+00, -8.8735e-01, -2.3829e+00,\n",
       "                       9.4940e-01, -6.2453e-02,  1.6186e+00,  6.0032e-03, -2.0182e+00,\n",
       "                      -1.2138e+00, -1.2156e-01,  1.8611e+00,  1.6398e+00, -3.9554e-01,\n",
       "                       1.1682e-01,  7.8636e-03, -1.0014e+00, -2.2538e-01,  2.9352e+00,\n",
       "                      -9.2923e-01,  9.0227e-01, -5.1496e-03, -1.0627e+00, -8.1146e-01,\n",
       "                       1.8176e+00, -4.2169e-01, -1.1481e+00, -5.9418e-01,  1.2167e+00,\n",
       "                      -2.3794e+00, -1.4184e+00, -1.8703e+00,  9.2127e-01,  1.6627e+00,\n",
       "                      -1.3190e+00], device='cuda:0')),\n",
       "             ('module.stage3.7.reparam_conv.weight',\n",
       "              tensor([[[[-0.0763]],\n",
       "              \n",
       "                       [[ 0.0515]],\n",
       "              \n",
       "                       [[ 0.1809]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0176]],\n",
       "              \n",
       "                       [[-0.0876]],\n",
       "              \n",
       "                       [[-0.2619]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0797]],\n",
       "              \n",
       "                       [[-0.1310]],\n",
       "              \n",
       "                       [[-0.0435]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0713]],\n",
       "              \n",
       "                       [[ 0.0552]],\n",
       "              \n",
       "                       [[-0.1997]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0813]],\n",
       "              \n",
       "                       [[ 0.0250]],\n",
       "              \n",
       "                       [[-0.1849]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0788]],\n",
       "              \n",
       "                       [[ 0.1008]],\n",
       "              \n",
       "                       [[ 0.0495]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0897]],\n",
       "              \n",
       "                       [[ 0.1185]],\n",
       "              \n",
       "                       [[-0.0539]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0680]],\n",
       "              \n",
       "                       [[-0.0123]],\n",
       "              \n",
       "                       [[-0.0327]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0453]],\n",
       "              \n",
       "                       [[ 0.1213]],\n",
       "              \n",
       "                       [[ 0.0099]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0439]],\n",
       "              \n",
       "                       [[-0.1484]],\n",
       "              \n",
       "                       [[ 0.0414]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0632]],\n",
       "              \n",
       "                       [[-0.0459]],\n",
       "              \n",
       "                       [[ 0.0101]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0277]],\n",
       "              \n",
       "                       [[-0.0345]],\n",
       "              \n",
       "                       [[-0.0137]]]], device='cuda:0')),\n",
       "             ('module.stage3.7.reparam_conv.bias',\n",
       "              tensor([ 0.5162,  1.1326,  1.3910,  1.1826, -0.2077, -0.1140,  2.3614,  2.8990,\n",
       "                       1.8144,  1.0271,  0.6015,  0.0179,  1.6265,  1.9269, -0.2361,  0.7411,\n",
       "                       0.0893, -0.5527,  2.0063,  0.4267,  0.9886,  0.4933,  1.6954,  0.7584,\n",
       "                      -1.3399,  0.7847,  2.2426,  0.4228,  0.6674, -0.3660,  1.2599,  1.6672,\n",
       "                      -0.6480,  1.6096,  0.5471,  2.9734,  1.3723,  0.8580,  0.2328,  0.0931,\n",
       "                       0.6385,  0.8223, -0.1282,  0.0369, -0.1656,  0.5409,  0.9850,  1.4256,\n",
       "                       0.9928,  2.3801,  0.4025, -0.4831, -0.2546, -0.1928, -0.3403,  0.3618,\n",
       "                       0.3516,  1.0836, -0.5332, -0.5048,  0.5145, -0.2233,  0.1576,  1.2699,\n",
       "                       1.4033,  0.5490, -0.2368,  0.0358, -0.1754,  2.1335, -0.2170, -0.3145,\n",
       "                       0.5767,  0.3515,  0.6708,  0.1016, -0.6674, -0.3954,  1.3864,  0.0880,\n",
       "                       0.6157,  1.1196,  0.0567,  0.1951,  1.4876, -0.2198,  0.8684,  1.2666,\n",
       "                       0.1221, -1.0070,  0.6754,  0.8046, -0.4418,  0.0106,  1.8989,  1.1099,\n",
       "                       3.6833, -0.0649, -1.9069, -0.4142, -0.9943,  0.0877, -0.2976,  0.0360,\n",
       "                      -0.6731,  0.9366,  0.0451,  0.8452,  0.6749,  0.1714,  1.0480,  1.0513,\n",
       "                       1.2288,  0.0945, -0.1340,  0.7904,  1.2850,  1.6312,  3.0617,  0.1739,\n",
       "                       0.6875, -0.9320,  1.3255,  0.0418,  0.6419,  0.2929, -0.0749,  0.2670,\n",
       "                       0.5572,  0.4872,  2.7679,  0.3773,  0.8530,  2.2455, -0.7197,  0.8130,\n",
       "                      -0.2148,  1.1236,  0.4094, -0.7455,  0.7944, -0.0812, -0.4951,  0.7616,\n",
       "                       0.3086, -0.0803, -0.3869, -0.0120, -0.7454,  0.1047, -0.3747,  1.7623,\n",
       "                       0.1811,  1.4434, -0.3382, -0.6419, -1.0072,  2.0727, -0.9648,  1.3240,\n",
       "                      -0.6131, -1.4529,  0.1038,  0.9882,  0.8553,  0.0910,  1.3505,  0.2690,\n",
       "                       3.1526,  0.4072, -0.0219, -0.7397, -0.0884,  0.3661,  0.2924, -0.4665,\n",
       "                      -0.8518, -0.7159,  1.7304, -0.4352, -0.6041,  1.7183,  0.5799,  0.7397,\n",
       "                      -1.6832, -0.1840,  0.5436,  1.3935,  2.1916,  0.5694,  0.5163, -0.3376,\n",
       "                       0.4519, -0.1135,  0.5382,  2.0812,  3.3126,  0.6501,  1.7175,  1.8006,\n",
       "                       0.7354,  0.2003,  0.6607,  0.7705,  1.0864, -0.3809,  0.1904, -0.2973,\n",
       "                       0.3908,  0.5208,  0.3511, -0.1824, -0.0131, -0.2104,  1.8657,  0.2881,\n",
       "                       1.9859,  1.1862,  1.3663,  0.3727, -0.1616, -0.4137,  0.1928, -0.6893,\n",
       "                      -0.7102,  0.9298,  0.2507, -0.2216, -0.8887, -1.4045,  0.0383,  0.6862,\n",
       "                      -0.3841,  2.0489,  0.4091,  1.1350, -0.2109, -0.6096, -0.5317,  0.8100,\n",
       "                       0.0428,  1.1897,  0.8002, -0.1255,  1.5176,  0.9775,  0.0602,  0.1547,\n",
       "                       0.2673,  1.3028, -0.1458, -0.6237,  1.0351,  1.7281,  0.0040,  0.2540],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage3.8.reparam_conv.weight',\n",
       "              tensor([[[[-0.2830, -0.0130, -0.1320],\n",
       "                        [-0.1342,  0.0902, -0.1511],\n",
       "                        [-0.4418, -0.2999, -0.4094]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2180,  1.4484,  0.2033],\n",
       "                        [-0.3145, -0.2823, -0.2728],\n",
       "                        [-0.0294, -0.3539, -0.0962]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.2945, -0.2165, -0.6476],\n",
       "                        [-0.2835, -0.0690, -0.4520],\n",
       "                        [-0.5406, -0.4763, -0.4695]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2452,  0.1230,  0.3151],\n",
       "                        [ 0.2299,  0.0312,  0.3333],\n",
       "                        [ 0.1301,  0.2276,  0.1221]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0160,  0.1586,  0.0326],\n",
       "                        [ 0.1630,  1.4939,  0.1192],\n",
       "                        [ 0.1682,  0.1626,  0.0373]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.4364,  0.4042,  0.4974],\n",
       "                        [ 0.3389,  0.7809,  0.1156],\n",
       "                        [ 0.3182,  0.1911,  0.5361]]]], device='cuda:0')),\n",
       "             ('module.stage3.8.reparam_conv.bias',\n",
       "              tensor([ 1.4627e+00,  1.4042e-01,  1.3041e+00,  1.0191e-01, -1.1166e+00,\n",
       "                       9.7016e-02,  4.5654e+00,  2.5327e-01, -2.9082e+00, -2.0496e-01,\n",
       "                       4.6626e-01,  2.6845e-02, -4.7026e-02, -1.4994e+00,  7.6515e-01,\n",
       "                       8.2702e-01, -3.8433e-01,  6.0222e-02,  2.3634e-01,  3.8390e-02,\n",
       "                      -5.3985e-01,  3.4236e-01, -5.5241e-02,  9.3731e-01,  1.9745e+00,\n",
       "                      -1.8607e+00,  2.3012e-01, -5.5247e-01, -1.2605e-01, -1.6851e+00,\n",
       "                      -1.3941e-01, -9.3558e-01, -9.9022e-01,  1.7056e+00, -1.3641e+00,\n",
       "                      -1.0555e+00, -6.2771e-02, -1.1230e+00, -8.2091e-01, -8.3880e-01,\n",
       "                       2.7325e-01,  2.4691e+00, -6.4798e-01, -3.2709e+00, -8.5620e-02,\n",
       "                       1.4842e-01, -1.0929e+00,  1.7424e+00,  2.1349e-01, -2.0868e+00,\n",
       "                       3.8232e-02,  4.7667e-01, -1.2002e-01,  6.9512e-03, -6.4730e-01,\n",
       "                       2.7933e+00, -8.6590e-01, -1.3607e+00,  4.3157e-01,  1.8607e+00,\n",
       "                       1.3441e-01, -1.4700e-01, -9.9366e-01, -8.1030e-02,  1.4534e+00,\n",
       "                       4.1165e+00,  7.8618e-02, -1.1702e-01,  1.8732e+00,  5.5399e-01,\n",
       "                       4.0352e-01, -1.6014e+00, -8.1461e-01, -1.0912e+00, -6.3189e-01,\n",
       "                      -4.5954e-02,  1.0471e+00,  1.7729e+00, -2.0095e+00, -1.0100e-02,\n",
       "                       1.9165e+00, -2.5495e-01,  5.3829e-01, -7.9052e-02, -1.4943e-01,\n",
       "                       1.2589e-01,  4.4795e-02, -6.3558e-01, -6.8403e-01, -2.9560e-01,\n",
       "                      -7.1676e-02,  4.4980e-01, -4.8166e-01, -9.0485e-02,  1.1514e-02,\n",
       "                      -7.5329e-01,  9.5362e+00, -8.5134e-01,  1.6778e+00, -1.7592e+00,\n",
       "                      -6.9837e-02, -9.3037e-01, -4.1865e-01,  8.4671e-02,  1.0848e-01,\n",
       "                      -5.9461e-01, -5.8755e-02,  3.9094e+00, -1.9580e+00,  7.1488e-03,\n",
       "                      -2.4225e-01,  2.9797e-01, -5.1026e-01, -4.4450e-02, -2.6434e+00,\n",
       "                       7.4979e-03,  2.4976e+00, -3.9902e-01, -2.9003e-01,  2.1140e+00,\n",
       "                       3.4883e+00, -3.0582e-01,  1.4817e-02,  5.0866e-01,  1.0321e-01,\n",
       "                      -6.6248e-01, -4.9037e-02, -3.5929e-01, -2.3271e+00,  4.0039e-01,\n",
       "                      -1.4459e+00, -2.2367e+00,  2.7306e+00,  1.8289e+00,  1.4354e-01,\n",
       "                      -2.6576e-02, -7.8758e-02,  2.4672e-01, -2.3757e-01,  3.5504e-01,\n",
       "                      -1.6404e+00, -1.0030e+00,  3.5864e-01,  1.0000e-01,  3.0404e+00,\n",
       "                      -3.1420e-01, -1.2971e+00, -5.7974e-03,  1.8541e+00,  1.4240e+00,\n",
       "                      -1.2237e+00,  1.4175e+00,  1.1007e+00, -4.7393e-01, -1.6266e+00,\n",
       "                       2.1551e+00,  3.5386e-01,  1.5568e+00, -3.5622e+00,  1.5790e-01,\n",
       "                      -2.8204e+00, -4.5857e-01, -6.9630e-01,  3.4283e+00,  2.8913e+00,\n",
       "                       1.9866e+00, -1.3705e+00, -1.8692e-01,  1.0563e+00, -1.0854e+00,\n",
       "                      -2.2752e-01, -1.4517e+00, -1.1032e+00, -4.7881e-01, -6.3496e-01,\n",
       "                      -1.1889e+00, -1.5559e+00,  1.3424e-01,  7.2109e-01, -1.0018e+00,\n",
       "                      -1.1371e+00,  1.8681e+00,  3.0106e+00, -1.2862e+00, -6.0136e-01,\n",
       "                      -9.3443e-02,  1.7033e+00,  1.5522e+00, -9.2165e-01, -1.1856e+00,\n",
       "                      -6.5180e-01, -1.3317e+00,  2.0467e-01, -4.3246e-01, -8.5508e-01,\n",
       "                      -1.4140e-01,  5.1949e-01,  1.8100e+00,  2.0685e-01, -2.2945e-01,\n",
       "                      -8.0369e-03, -1.0961e+00,  5.2419e-01, -7.7753e-01, -1.8581e+00,\n",
       "                      -1.2449e+00, -1.2922e-02, -9.1389e-01, -1.8881e-01,  5.7495e-01,\n",
       "                      -6.3499e-01, -9.5020e-01,  8.0679e-01, -1.0645e-01,  6.2248e-01,\n",
       "                      -9.2437e-01,  1.1709e-01,  8.9304e-03, -1.6607e+00,  2.8181e-01,\n",
       "                      -3.9670e-01, -8.1206e-01,  8.2847e-02,  1.6584e-01, -1.4700e+00,\n",
       "                      -4.0179e-01,  2.3112e+00, -9.2213e-02, -8.0035e-01, -7.3770e-01,\n",
       "                      -4.4389e-01, -4.8605e-01, -2.5754e-01,  1.7565e+00, -2.8595e-01,\n",
       "                      -1.6275e-01, -5.5269e-02,  1.7963e-01,  2.5379e-03, -1.4775e-01,\n",
       "                       1.1152e+00, -1.3924e+00, -1.9337e-01, -1.7537e+00,  8.3333e-01,\n",
       "                      -1.7638e+00, -8.3495e-02,  2.0493e-01, -1.5016e+00, -2.0084e-01,\n",
       "                      -9.0928e-02, -1.0212e+00, -1.9896e+00,  4.4425e-02, -1.2928e+00,\n",
       "                      -8.1428e-01], device='cuda:0')),\n",
       "             ('module.stage3.9.reparam_conv.weight',\n",
       "              tensor([[[[-0.2749]],\n",
       "              \n",
       "                       [[ 0.0034]],\n",
       "              \n",
       "                       [[-0.0386]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0089]],\n",
       "              \n",
       "                       [[ 0.0440]],\n",
       "              \n",
       "                       [[-0.0469]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1219]],\n",
       "              \n",
       "                       [[-0.0305]],\n",
       "              \n",
       "                       [[-0.0602]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.1232]],\n",
       "              \n",
       "                       [[-0.1050]],\n",
       "              \n",
       "                       [[ 0.1418]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0739]],\n",
       "              \n",
       "                       [[-0.0336]],\n",
       "              \n",
       "                       [[-0.0145]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0611]],\n",
       "              \n",
       "                       [[ 0.1507]],\n",
       "              \n",
       "                       [[-0.0030]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0195]],\n",
       "              \n",
       "                       [[-0.0071]],\n",
       "              \n",
       "                       [[ 0.0069]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0307]],\n",
       "              \n",
       "                       [[ 0.0067]],\n",
       "              \n",
       "                       [[ 0.0552]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0498]],\n",
       "              \n",
       "                       [[-0.0401]],\n",
       "              \n",
       "                       [[-0.0036]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0251]],\n",
       "              \n",
       "                       [[ 0.2133]],\n",
       "              \n",
       "                       [[ 0.0093]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0728]],\n",
       "              \n",
       "                       [[-0.0188]],\n",
       "              \n",
       "                       [[ 0.0220]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0548]],\n",
       "              \n",
       "                       [[ 0.0262]],\n",
       "              \n",
       "                       [[-0.0451]]]], device='cuda:0')),\n",
       "             ('module.stage3.9.reparam_conv.bias',\n",
       "              tensor([-2.0409e-01,  9.4651e-01, -3.2001e-01, -4.4848e-01, -1.5880e-01,\n",
       "                       8.1647e-01,  3.3068e-01, -3.4086e+00,  9.9827e-01,  7.0539e-02,\n",
       "                      -1.0907e+00,  1.4236e-01,  7.0519e-01, -2.3299e-01, -2.5606e-01,\n",
       "                       3.7326e+00,  1.5498e+00,  1.4463e+00,  9.3567e-01,  2.5489e+00,\n",
       "                       1.9079e+00,  1.4802e+00, -1.9009e-01,  2.4046e+00,  8.4263e-01,\n",
       "                      -1.2374e+00,  2.5743e-01,  8.4810e-01,  8.9314e-01, -1.6711e+00,\n",
       "                       4.6421e-01,  2.0265e+00, -1.9763e-01,  6.9002e-01,  1.8160e+00,\n",
       "                       2.1706e+00,  4.7942e-01, -9.8218e-01,  8.2651e-02,  1.4818e+00,\n",
       "                      -2.4003e-01,  3.6807e-01,  2.0593e+00,  9.7557e-02, -5.7836e-01,\n",
       "                      -5.8161e-01,  1.6139e+00,  3.8772e+00,  1.7126e+00,  5.2030e-01,\n",
       "                       2.6170e-01,  5.7125e-02, -2.1646e+00,  2.2388e+00,  1.3563e+00,\n",
       "                       4.7477e-01,  5.0338e-01,  2.0639e+00,  2.4890e+00,  3.7508e-01,\n",
       "                       1.1266e+00,  8.8522e-01,  7.5454e-01, -1.4325e+00, -1.8346e+00,\n",
       "                       1.5895e+00, -2.0808e-01,  1.8385e+00,  9.2359e-01,  9.2344e-01,\n",
       "                      -1.8242e+00,  1.7904e+00, -4.1315e-01,  7.7373e-01, -1.3972e-01,\n",
       "                       5.3911e-02, -1.0228e+00,  3.0822e-01,  1.1521e+00, -2.2613e-01,\n",
       "                      -4.8720e-01, -5.0947e-01,  8.7095e-01, -3.3455e-01, -2.9421e+00,\n",
       "                       1.5811e+00, -1.6169e+00, -1.4093e+00,  6.5906e-01,  2.7159e-02,\n",
       "                       1.1670e+00, -3.5097e-01,  2.1317e+00, -3.8984e-01, -1.9486e-02,\n",
       "                       1.3198e+00,  1.4439e+00,  1.0441e+00,  1.9637e+00,  2.7981e-01,\n",
       "                      -5.6400e-01,  4.1375e+00, -7.4343e-01,  2.2909e+00,  3.7730e+00,\n",
       "                       3.4737e+00, -3.7614e-02, -2.5243e-01,  6.9375e-01, -1.6322e+00,\n",
       "                       1.4012e+00,  3.7652e-01,  1.3269e+00, -7.5073e-01,  1.1234e+00,\n",
       "                       1.8854e+00,  4.0273e-01, -2.6731e+00,  6.0321e-01,  2.5790e+00,\n",
       "                       1.1029e+00, -4.2408e+00,  5.5444e-01, -2.3407e+00,  8.7816e-01,\n",
       "                      -1.5036e+00, -6.2676e-01,  4.8423e-02,  9.2374e-01,  2.1574e+00,\n",
       "                       2.0977e+00,  5.9810e-01, -1.2809e+00,  7.3288e-01, -2.6747e+00,\n",
       "                       2.2353e-01,  4.0467e+00, -3.2177e-01,  3.8340e-02, -1.6698e-01,\n",
       "                       1.1481e+00, -5.7221e-01,  2.9462e+00,  1.9456e-02,  1.6852e-01,\n",
       "                       1.0653e+00,  7.5948e-01,  1.9062e+00,  3.4062e-01, -2.8872e-01,\n",
       "                       1.2258e+00,  1.3173e+00,  1.2548e+00,  4.5026e-01,  1.0980e+00,\n",
       "                      -4.5972e-01, -9.8661e-02, -5.6370e-01, -1.6683e-01,  1.6865e+00,\n",
       "                      -3.1965e-01,  2.2780e+00,  9.8274e-01,  2.1456e-01, -1.3986e+00,\n",
       "                      -1.2884e+00,  1.4666e+00, -7.5200e-01,  2.0865e+00,  6.0721e-02,\n",
       "                      -1.3691e+00,  1.4956e+00,  5.8359e-01, -6.7671e-01,  5.2323e-01,\n",
       "                       1.0695e+00,  1.7233e+00,  7.7533e-01,  1.8054e+00, -1.9830e-01,\n",
       "                       2.0482e-01,  7.5547e-01,  2.2933e-01,  9.1501e-01,  1.4201e+00,\n",
       "                       3.9849e-01, -5.6915e-01,  1.1335e+00, -4.1470e-01, -2.7123e-01,\n",
       "                       1.0806e+00,  6.4227e-01,  2.8264e-01, -2.4428e+00, -2.3366e-01,\n",
       "                       6.0253e-01,  2.0159e+00,  1.4329e+00, -3.1417e-01, -1.9201e-01,\n",
       "                       1.3475e+00, -2.7213e-01,  6.5507e-01,  1.1950e+00, -1.8708e-01,\n",
       "                      -7.1538e-01,  3.0040e+00,  1.6499e+00,  3.1002e-03, -1.0784e+00,\n",
       "                       2.4774e+00,  1.5221e-01,  4.5946e-01,  5.0800e-01,  1.3124e+00,\n",
       "                      -3.1247e-01,  3.4728e-01,  6.0449e-01,  2.2654e+00, -1.1484e-01,\n",
       "                       3.2569e-01, -6.4560e-02,  1.0277e+00,  1.3974e-01,  1.2855e+00,\n",
       "                       1.9416e-01,  1.3115e+00, -4.4506e-02, -2.9758e+00, -9.8506e-01,\n",
       "                       1.7112e+00,  3.2597e-01,  1.0156e+00,  2.0263e+00, -6.2439e-01,\n",
       "                      -1.0883e-01,  1.1230e+00,  5.5862e-01,  7.0048e-01,  3.7019e-01,\n",
       "                       9.8768e-01,  3.4099e-01, -6.8492e-01,  3.5201e-01,  5.0702e-01,\n",
       "                      -4.7356e-01,  1.0349e+00, -7.3396e-01,  2.2668e+00,  1.8505e+00,\n",
       "                      -2.7303e-01,  1.7899e+00, -1.5355e-02, -2.4548e+00,  5.4072e-01,\n",
       "                       1.9078e+00], device='cuda:0')),\n",
       "             ('module.stage3.10.reparam_conv.weight',\n",
       "              tensor([[[[ 0.8013,  1.0543, -0.0669],\n",
       "                        [ 0.9663, -2.1862, -1.0086],\n",
       "                        [ 0.8502, -0.0795, -0.2729]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.3523,  0.0681,  0.2280],\n",
       "                        [-0.0073, -0.0675,  0.0417],\n",
       "                        [ 0.5763,  0.1967,  0.7554]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.3010,  0.2511,  0.1439],\n",
       "                        [ 0.2811,  0.8497,  0.1899],\n",
       "                        [ 0.4472,  0.3627,  0.3246]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.8106, -0.8179,  0.0669],\n",
       "                        [-0.4800,  0.5384,  0.7178],\n",
       "                        [-0.1300,  0.3756,  0.8068]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1131,  0.2442,  0.2197],\n",
       "                        [ 0.0392,  0.9383,  0.0595],\n",
       "                        [ 0.1831,  0.1219,  0.2218]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.3904,  0.1600, -0.1162],\n",
       "                        [ 0.9718, -0.1649, -0.6059],\n",
       "                        [ 0.0821, -0.0280,  0.0218]]]], device='cuda:0')),\n",
       "             ('module.stage3.10.reparam_conv.bias',\n",
       "              tensor([-4.7926e-01, -5.7522e-01, -1.4541e+00, -2.3030e+00, -1.9593e+00,\n",
       "                       3.2618e-01,  6.9105e+00, -8.8557e-02,  4.8989e-01, -7.0578e-01,\n",
       "                      -8.8705e-02, -6.3906e-01,  1.2229e+00, -9.1722e-02, -7.7259e-01,\n",
       "                       4.9184e-01, -1.6831e+00, -5.1945e-01, -1.3768e-01, -9.8011e-01,\n",
       "                       2.0945e-01, -8.0150e-02, -1.6072e+00,  1.7883e-01,  1.4214e+00,\n",
       "                      -4.6466e-01, -7.4973e-01,  1.8544e+00, -3.9482e-01, -8.8037e-01,\n",
       "                       3.4583e+00,  7.6115e-01,  1.0637e-01, -8.3381e-01,  7.5764e-01,\n",
       "                       5.5025e-01,  1.0289e+00, -2.4533e-01, -4.6273e-02,  7.1291e-01,\n",
       "                      -4.9825e-02, -3.4818e-02,  1.4815e+00,  5.2193e-01,  1.9884e-01,\n",
       "                       2.1372e-01,  4.3301e-01,  4.5961e-02, -9.8022e-01, -9.4949e-01,\n",
       "                       1.6030e+00,  6.8856e-01, -1.9202e+00, -1.1859e+00, -2.4869e-01,\n",
       "                       2.4325e+00,  2.5262e-01,  2.0620e-01,  7.0002e-01, -2.4807e-01,\n",
       "                       6.4723e-01,  4.4313e-01, -7.3607e-01,  2.6604e+00, -3.1138e-01,\n",
       "                      -6.3047e-01, -1.1781e+00, -2.6941e-01,  2.0599e-01,  3.9254e+00,\n",
       "                      -1.6323e+00,  2.1461e+00, -2.8267e-01,  6.1606e-02, -4.9842e-02,\n",
       "                      -7.9474e-01, -3.7271e-01, -8.3313e-02, -1.8839e+00,  1.5444e+00,\n",
       "                      -5.6546e-01, -1.5932e+00,  3.7295e-01, -3.4915e-01, -2.0230e+00,\n",
       "                       5.9139e-01,  1.8840e+00,  1.3554e+00, -1.2974e-01,  5.1869e-01,\n",
       "                       3.0598e+00, -1.7557e+00, -8.2680e-01,  4.4523e-01, -2.4236e-01,\n",
       "                      -5.5131e-01, -4.1983e-02, -5.7450e-02,  1.2212e+00,  2.3357e-01,\n",
       "                      -1.6330e+00, -7.9640e-01, -1.6538e+00,  6.4567e-02, -2.0283e-01,\n",
       "                       1.0237e-01,  2.1364e+00,  7.7392e+00,  1.6324e+00, -2.8023e-01,\n",
       "                      -1.4815e+00, -1.1601e-01,  2.3304e+00,  2.2462e-01, -8.3833e-01,\n",
       "                       2.5639e+00, -3.7404e+00,  2.4115e-01, -1.2546e+00, -2.0678e-01,\n",
       "                      -1.1464e-01,  2.5193e-01, -3.2972e-01, -1.1468e+00, -1.1109e+00,\n",
       "                       1.7060e+00,  1.9944e+00, -1.0268e+00,  4.2010e-02,  6.2224e-01,\n",
       "                       5.0517e-01, -9.5958e-01,  1.2726e+00, -1.5235e-01,  2.4929e-01,\n",
       "                      -1.3620e+00,  8.6544e-01, -2.0483e-01,  1.1138e+00,  1.5598e-01,\n",
       "                       6.6201e-02, -1.8848e+00,  1.3998e+00, -1.2417e-01, -2.9773e+00,\n",
       "                       2.9333e-01, -8.8138e-01, -3.2787e+00, -4.7631e-01, -1.4587e-01,\n",
       "                       2.1360e+00, -7.5693e-01, -6.0535e-02,  2.1285e+00, -2.0523e+00,\n",
       "                       2.0252e+00, -1.1481e+00,  7.5002e-01, -5.2774e-01, -9.4619e-01,\n",
       "                      -8.2871e-02,  2.0775e+00,  1.4281e+00,  1.7643e+00,  2.0238e+00,\n",
       "                       2.1777e-01,  3.2550e-01, -2.0249e+00,  1.5750e+00,  1.5761e+00,\n",
       "                       5.5466e-01,  4.0683e-01, -1.3367e+00, -3.7909e-01, -1.3947e+00,\n",
       "                       3.3968e+00, -7.2345e+00,  1.4384e+00, -2.7471e-01,  2.4367e+00,\n",
       "                      -5.1671e-01,  6.5373e-02, -6.8475e-01,  1.2823e-01, -1.1718e+00,\n",
       "                      -1.0903e-01, -1.6502e-01,  2.1025e+00, -8.6966e-01,  6.0537e-02,\n",
       "                       6.8381e-01,  8.0335e-02,  2.6797e+00, -2.1656e+00, -9.5292e-02,\n",
       "                      -1.6405e+00, -2.8914e+00,  2.0208e+00,  1.3468e+00, -2.5488e-02,\n",
       "                       3.0408e+00, -2.0879e+00,  6.0125e-01,  8.0909e-01,  2.4909e-01,\n",
       "                      -1.3277e+00, -3.8517e-01,  1.6598e+00, -5.9984e-01,  4.4763e-01,\n",
       "                       1.2711e+00,  5.1021e-01, -6.2404e-01,  1.3402e-01, -1.4359e+00,\n",
       "                      -5.1579e-02, -2.9195e-02, -4.5570e-01, -1.5244e-02, -1.1456e+00,\n",
       "                      -6.6515e-01,  4.1336e-01, -2.9347e-02,  3.6528e+00, -6.5961e-01,\n",
       "                      -1.3417e+00,  4.2474e-01, -2.1173e+00, -9.2664e-01,  3.3047e-01,\n",
       "                      -9.1406e-02, -1.0538e+00,  8.8591e-01, -8.8219e-02,  2.0907e+00,\n",
       "                       1.6646e+00, -1.6268e+00, -1.2506e+00, -2.2916e-01, -6.9338e-02,\n",
       "                       3.0837e-01, -8.9469e-01, -7.4454e-01, -9.7019e-01,  1.3781e-03,\n",
       "                      -1.0410e+00, -8.9358e-02,  1.7134e+00,  2.3060e+00, -2.7708e-01,\n",
       "                       1.0630e-02,  2.7118e+00, -3.8335e-01,  1.9460e+00, -9.8016e-01,\n",
       "                       9.0566e-01], device='cuda:0')),\n",
       "             ('module.stage3.11.reparam_conv.weight',\n",
       "              tensor([[[[-0.0013]],\n",
       "              \n",
       "                       [[ 0.0640]],\n",
       "              \n",
       "                       [[-0.0147]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0283]],\n",
       "              \n",
       "                       [[-0.0921]],\n",
       "              \n",
       "                       [[-0.0414]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0311]],\n",
       "              \n",
       "                       [[-0.0374]],\n",
       "              \n",
       "                       [[ 0.0334]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0030]],\n",
       "              \n",
       "                       [[ 0.0511]],\n",
       "              \n",
       "                       [[ 0.0287]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0835]],\n",
       "              \n",
       "                       [[-0.0493]],\n",
       "              \n",
       "                       [[ 0.0447]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0220]],\n",
       "              \n",
       "                       [[ 0.0620]],\n",
       "              \n",
       "                       [[-0.0349]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0326]],\n",
       "              \n",
       "                       [[ 0.0685]],\n",
       "              \n",
       "                       [[-0.0839]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0648]],\n",
       "              \n",
       "                       [[ 0.0731]],\n",
       "              \n",
       "                       [[ 0.0981]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0480]],\n",
       "              \n",
       "                       [[-0.0291]],\n",
       "              \n",
       "                       [[ 0.0037]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0178]],\n",
       "              \n",
       "                       [[-0.0280]],\n",
       "              \n",
       "                       [[ 0.0165]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0817]],\n",
       "              \n",
       "                       [[-0.0480]],\n",
       "              \n",
       "                       [[-0.0364]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0744]],\n",
       "              \n",
       "                       [[ 0.0338]],\n",
       "              \n",
       "                       [[-0.0236]]]], device='cuda:0')),\n",
       "             ('module.stage3.11.reparam_conv.bias',\n",
       "              tensor([-0.0516, -0.0337,  1.8376,  0.6512,  1.5929,  1.3246,  1.2324,  1.4534,\n",
       "                       1.0972,  1.8029, -1.4309, -0.0462,  0.7287,  2.2466,  0.8318,  0.2820,\n",
       "                       1.4890,  0.4962, -0.8940, -0.8995, -2.5676, -0.0942,  0.9357, -2.4916,\n",
       "                      -1.6546, -0.4781, -0.6605,  0.7480,  0.4067, -0.8385, -1.3930, -0.6329,\n",
       "                       0.8792, -0.4699, -0.2193, -0.1994,  0.6272,  1.8239,  0.8391,  1.4226,\n",
       "                      -0.9914,  0.2674,  0.6607,  1.4627,  0.9598, -0.0110,  1.5483,  0.0377,\n",
       "                       0.3709,  0.7720,  1.0226,  0.5582, -0.4753, -1.4995, -0.1773, -0.4907,\n",
       "                      -0.4894, -0.0148,  0.1498,  0.9981, -0.1415,  0.5905,  1.0282,  0.5202,\n",
       "                       0.8400, -0.0466,  1.1115,  0.2116,  0.5193,  0.3290,  1.6099, -0.3525,\n",
       "                       1.2844, -0.2816, -0.3561,  0.0184,  0.5424, -1.4396,  2.0140,  0.6305,\n",
       "                       1.2779, -0.9178, -0.6997,  0.1279,  0.8999,  0.5941,  0.9542, -1.2559,\n",
       "                       1.5166,  0.3088,  1.9797,  1.3003, -0.4589, -0.6971, -0.0686,  1.1558,\n",
       "                      -0.0313,  0.4100, -0.2683, -0.2441, -0.2705,  1.4041,  0.4233, -0.6091,\n",
       "                       0.1637,  0.8721,  1.6112,  1.4277, -0.5046, -0.1508, -0.7988,  0.4226,\n",
       "                      -0.4788,  1.0783,  0.3763,  0.1179, -0.2435, -0.1026, -0.7671,  0.1546,\n",
       "                       1.1168,  1.2611, -1.7789,  3.0265, -0.3498,  0.0205,  4.7774,  0.4423,\n",
       "                       0.2439,  0.1573,  0.7110,  2.2453,  0.9000,  1.7410,  0.4340, -0.0595,\n",
       "                       1.8451,  0.1612, -0.9342,  1.3951,  0.7721, -0.7568, -0.2750,  0.2611,\n",
       "                       0.0556,  0.2362, -0.9606, -0.9816,  0.3456,  0.3271,  1.9963,  2.1329,\n",
       "                       1.2974,  2.6370,  0.9616,  0.1847, -1.3996,  1.6938, -0.0355, -2.4320,\n",
       "                       0.3474, -0.0477,  0.0556,  1.5930,  0.4708, -0.2708, -0.5255, -0.6105,\n",
       "                       0.6695,  0.5505, -0.7357, -0.5801, -1.5035,  1.7854,  0.6703,  0.1952,\n",
       "                       1.2383,  1.0570,  0.5918,  1.2840,  3.8839,  0.0936,  3.2104,  1.6967,\n",
       "                       0.4961, -0.0717,  0.9243,  1.1934,  0.7743, -3.6461,  0.7823, -0.7722,\n",
       "                       0.2729, -1.1438, -0.9976,  0.3746,  3.2329,  1.2117,  1.3245, -0.6511,\n",
       "                       0.0925,  2.3518,  0.8560, -1.9617, -0.1366,  1.7133, -1.9068,  0.5137,\n",
       "                       1.0995, -0.2189, -0.1672, -0.1157, -0.1667, -1.0868,  1.1653,  0.1569,\n",
       "                       0.5491,  1.2007, -1.0765, -0.2636,  0.0650,  0.9642,  0.2981, -1.9300,\n",
       "                      -2.0867,  0.3989, -0.5029,  2.2366,  1.0111,  1.0086,  1.0397,  0.2712,\n",
       "                       1.5184, -0.7246,  1.7042,  0.9938, -0.4267,  1.2133,  1.0353,  0.3737,\n",
       "                      -0.9697, -1.6839,  1.5651, -0.2693,  0.2818,  2.0288,  0.3029, -3.2564,\n",
       "                      -1.1851,  5.0897, -0.0355,  1.2923,  0.0827, -0.4923,  1.1007, -0.1619],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage3.12.reparam_conv.weight',\n",
       "              tensor([[[[-3.6958e-03,  3.6621e-01,  3.0889e-02],\n",
       "                        [ 1.1320e-01,  1.2685e+00,  1.4024e-01],\n",
       "                        [-8.1015e-03,  8.1534e-02, -1.4905e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[-1.6913e-03,  3.1858e-02, -1.2560e-02],\n",
       "                        [-4.7092e-02,  9.3280e-01, -7.0095e-03],\n",
       "                        [-6.3067e-03, -2.5585e-02,  1.7261e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.7952e-01,  7.4762e-01,  1.5593e-01],\n",
       "                        [-2.7398e-01, -2.1335e+00, -3.5671e-01],\n",
       "                        [ 1.6547e-01,  1.2413e+00,  1.5342e-01]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-2.0430e-01, -5.2278e-01, -2.1451e-01],\n",
       "                        [-3.8409e-01, -5.5858e-01, -5.8612e-01],\n",
       "                        [-1.9708e-01, -2.4597e-01, -3.3840e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 3.4137e-01,  1.9599e+00,  2.5477e-01],\n",
       "                        [-6.8193e-02, -1.3309e+00, -2.7120e-01],\n",
       "                        [-1.2042e-01, -1.0864e+00, -2.5833e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[-6.8326e-02,  3.0631e-01,  2.5552e-01],\n",
       "                        [ 1.0284e+00,  6.9290e-01, -8.4682e-02],\n",
       "                        [ 4.7528e-01,  6.7913e-02,  2.3300e-01]]]], device='cuda:0')),\n",
       "             ('module.stage3.12.reparam_conv.bias',\n",
       "              tensor([-1.2439e+00,  1.5268e-01,  1.6066e-01, -2.2355e-01, -2.2436e-01,\n",
       "                      -1.6664e+00, -7.7382e-01, -1.5886e-01,  6.2734e-01,  4.0743e+00,\n",
       "                      -1.5189e-01,  7.2227e-02,  1.9820e+00, -1.3673e-01, -1.0580e+00,\n",
       "                      -1.0740e-01, -1.5236e+00, -2.1917e+00,  1.6557e-01, -8.4227e-01,\n",
       "                      -7.0602e-01,  3.8267e-01,  4.1737e-01, -7.2014e-01, -6.1563e-01,\n",
       "                       1.2349e+00,  1.8151e+00,  7.4321e-01,  2.0268e-01, -1.7451e-01,\n",
       "                      -6.3698e-01,  2.1579e+00,  6.6179e-02, -3.1292e-01,  5.6822e-01,\n",
       "                      -5.4981e-01,  2.2562e+00, -1.3167e+00, -2.3241e+00, -2.0410e+00,\n",
       "                      -2.1203e+00,  2.1582e+00, -9.4392e-01,  4.0105e+00,  1.0945e+00,\n",
       "                       3.1309e-01,  8.2127e-02, -1.1882e-01, -5.9093e-02,  6.7265e-01,\n",
       "                      -1.2944e+00, -1.8133e+00, -1.0563e+00,  2.1360e-01,  1.7408e+00,\n",
       "                      -1.1697e+00, -8.9373e-01, -4.4793e-02,  1.4405e-01, -4.8711e-01,\n",
       "                      -5.1759e-02,  9.4703e-01,  4.4682e-01,  1.6722e+00, -1.0665e+00,\n",
       "                       4.7518e-01,  2.3337e-01, -4.6044e-01, -2.1685e-01,  7.4074e+00,\n",
       "                      -1.1634e+00,  1.3927e+00, -1.8858e+00,  2.7484e+00, -6.6331e-02,\n",
       "                      -4.3846e-01, -2.6557e-01, -1.7655e+00, -1.4089e+00,  2.4857e-02,\n",
       "                      -1.7756e-01, -4.3389e-01, -2.2620e-01, -7.5955e-02, -6.5502e-01,\n",
       "                      -8.7882e-01, -8.0510e-01, -6.4248e-01, -1.1192e+00,  2.0742e+00,\n",
       "                      -8.5959e-02,  1.6737e+00,  8.4624e-01, -1.6062e+00,  2.1234e+00,\n",
       "                       6.3566e-02,  7.8684e-01,  4.5796e-01, -1.2554e+00, -2.1999e-01,\n",
       "                       1.7464e+00, -2.5246e-01,  4.0280e-01, -8.0374e-04,  3.2471e-02,\n",
       "                      -1.3416e+00,  2.0361e+00, -2.0066e+00, -1.3047e-01, -2.6863e+00,\n",
       "                      -1.7219e+00,  3.5603e+00, -2.1566e-01, -5.1054e-01,  1.9327e-01,\n",
       "                      -4.6724e-01,  1.5649e-01, -1.4155e-01, -7.1152e-01, -1.3814e-01,\n",
       "                      -9.2975e-01, -2.6964e+00,  1.4088e+00,  4.9650e+00,  8.6198e-01,\n",
       "                      -2.5480e-02,  1.5192e+00,  1.5044e+00,  2.2964e-01,  2.2300e+00,\n",
       "                      -2.4370e+00,  1.6589e+00, -9.6470e-01, -1.1813e+00,  3.6038e+00,\n",
       "                       1.0295e+00, -4.1417e-01,  3.0654e+00, -7.3318e-01, -2.2255e-01,\n",
       "                      -2.4458e+00, -4.6344e-01, -7.0779e-02, -1.9800e+00, -7.7160e-01,\n",
       "                       2.4033e-01, -7.0812e-01, -1.1047e+00,  3.4411e-01,  5.7903e+00,\n",
       "                       1.8174e-01,  2.7588e-01,  1.2813e+00, -8.5430e-01, -1.7807e-01,\n",
       "                       3.8844e-02, -1.3698e+00, -6.4292e-01, -3.5247e-01,  9.0987e-02,\n",
       "                      -7.9396e-01, -1.1426e+00, -7.6532e-01,  2.6838e-01, -9.2602e-02,\n",
       "                      -3.6261e-02,  3.2507e-01,  2.0166e-01,  1.7562e+00,  1.3837e+00,\n",
       "                      -1.2299e+00, -1.6721e+00,  6.2197e-02, -1.3005e+00, -2.6580e-01,\n",
       "                       2.6433e-01, -9.3835e-01,  1.4012e-01,  1.1040e+00,  9.6321e-01,\n",
       "                      -1.9020e+00,  8.9976e-02, -7.7088e-01, -6.2512e-01,  2.4955e+00,\n",
       "                       2.1812e+00, -3.0462e+00, -6.8125e-01, -1.8839e+00, -1.3788e+00,\n",
       "                      -2.8397e-01, -7.2805e-01, -6.6303e-01, -8.5516e-01, -3.4218e-01,\n",
       "                       2.3783e+00, -2.0314e+00,  3.3190e+00,  1.5149e-03, -3.4322e-01,\n",
       "                       3.0272e-01, -7.7201e-01,  3.7473e-02,  1.7957e+00, -1.0717e+00,\n",
       "                      -8.2494e-01,  2.9665e-01, -5.0231e-01, -1.1184e+00, -8.4261e-01,\n",
       "                      -4.9155e-02,  5.6699e-01, -3.6057e-01,  1.8466e+00, -6.0132e-01,\n",
       "                      -2.3566e-01,  3.7610e+00,  3.0324e+00,  1.3784e+00, -3.1967e-01,\n",
       "                       6.8369e-01, -1.8174e+00, -6.6800e-01, -1.3637e+00,  4.3366e-02,\n",
       "                       7.0787e-02, -1.2175e+00,  1.6410e+00, -1.5893e+00, -1.1255e-01,\n",
       "                       3.1259e-01,  1.0381e+00, -1.7833e-01,  3.8553e-01, -6.4892e-01,\n",
       "                      -1.6829e+00, -1.5039e+00, -1.1420e+00, -8.0514e-01, -6.5423e-01,\n",
       "                      -6.2358e-02, -1.0587e+00, -2.1350e+00, -5.3821e-01, -1.5944e-01,\n",
       "                      -2.5752e-01, -1.4254e-01,  6.5603e-02, -1.0363e+00,  4.4687e-01,\n",
       "                      -1.0999e-01,  6.2373e-02,  1.6270e+00,  1.7030e+00, -2.5439e-01,\n",
       "                      -6.3574e-01], device='cuda:0')),\n",
       "             ('module.stage3.13.reparam_conv.weight',\n",
       "              tensor([[[[ 0.0211]],\n",
       "              \n",
       "                       [[-0.0067]],\n",
       "              \n",
       "                       [[ 0.0094]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0519]],\n",
       "              \n",
       "                       [[ 0.0237]],\n",
       "              \n",
       "                       [[ 0.0487]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0687]],\n",
       "              \n",
       "                       [[ 0.0603]],\n",
       "              \n",
       "                       [[ 0.0211]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0468]],\n",
       "              \n",
       "                       [[-0.1705]],\n",
       "              \n",
       "                       [[-0.0150]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1959]],\n",
       "              \n",
       "                       [[ 0.0941]],\n",
       "              \n",
       "                       [[-0.2159]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0300]],\n",
       "              \n",
       "                       [[ 0.0009]],\n",
       "              \n",
       "                       [[ 0.0268]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0303]],\n",
       "              \n",
       "                       [[-0.0688]],\n",
       "              \n",
       "                       [[ 0.0549]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0094]],\n",
       "              \n",
       "                       [[ 0.0642]],\n",
       "              \n",
       "                       [[ 0.0258]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1060]],\n",
       "              \n",
       "                       [[ 0.0074]],\n",
       "              \n",
       "                       [[-0.0006]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0266]],\n",
       "              \n",
       "                       [[ 0.0275]],\n",
       "              \n",
       "                       [[ 0.0380]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0332]],\n",
       "              \n",
       "                       [[-0.0635]],\n",
       "              \n",
       "                       [[ 0.0232]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0215]],\n",
       "              \n",
       "                       [[ 0.1161]],\n",
       "              \n",
       "                       [[ 0.0710]]]], device='cuda:0')),\n",
       "             ('module.stage3.13.reparam_conv.bias',\n",
       "              tensor([ 2.7611,  0.0734, -2.6396,  0.4891,  1.2323,  1.5447,  0.5319, -0.0751,\n",
       "                      -0.1636,  0.3016,  1.3108,  1.0485,  0.0420,  1.6655,  0.3051, -0.1747,\n",
       "                       0.8785,  0.8024,  0.7603, -0.3451,  0.9880,  0.2455, -2.2110,  0.4718,\n",
       "                      -0.2745,  0.2574, -1.9666, -1.6036,  1.9431,  0.4009,  1.8996, -0.3951,\n",
       "                       0.1693,  0.5740, -1.1552,  0.3556, -0.9738,  1.1947,  1.8074,  0.6856,\n",
       "                      -1.0768,  1.5154, -0.0456,  0.1888, -0.5933,  0.6838, -0.6933, -0.6288,\n",
       "                      -0.4235, -0.4150,  0.7786, -0.5568,  1.3049,  0.7822,  0.2086,  0.0137,\n",
       "                       1.1842, -0.2020, -0.1594, -2.3262,  1.6374, -0.2003,  1.7477,  0.8781,\n",
       "                      -1.2690, -1.1333,  0.9176,  0.0209, -0.3352,  0.9456, -0.2210, -0.5042,\n",
       "                       0.0325,  0.6236,  0.2869, -0.6465,  2.2126,  1.3911, -0.2814,  0.8252,\n",
       "                      -1.4206,  1.1589,  1.8532,  1.2750, -0.6214,  2.4475, -0.7167, -0.1032,\n",
       "                       0.4328,  3.8319,  1.0600, -0.5521,  0.1205,  0.6333, -0.2363, -0.2154,\n",
       "                       0.9822, -0.2784, -0.9027,  0.9427,  0.9689,  0.0833,  0.2250,  0.7461,\n",
       "                       1.5843, -0.6228, -0.2574,  1.0480, -0.0821, -0.6126, -0.2941, -0.7481,\n",
       "                      -0.1640,  1.6837,  1.7618, -0.1090,  0.1568,  0.2400,  1.2257, -1.6730,\n",
       "                       1.7432,  0.7970,  1.6378, -0.8035,  1.4042,  2.2869,  1.6520,  1.4117,\n",
       "                      -0.7776,  0.9902, -0.9832, -1.2707,  1.8970,  0.7581,  0.0092,  2.3186,\n",
       "                       1.1533, -0.5116, -0.4535, -0.1328, -1.5442,  0.3521, -1.3258,  0.8865,\n",
       "                      -0.0353, -0.2725, -0.0214,  0.0330,  0.2726,  0.8690, -0.2925,  1.8648,\n",
       "                      -1.4197,  1.1863, -0.9195, -0.1231,  0.1924,  0.7556, -0.2873,  1.2561,\n",
       "                       1.1265, -0.0576,  1.4889, -0.1064,  0.4601,  1.3683,  1.2316,  0.9756,\n",
       "                       2.2878, -0.6335,  1.0207,  1.7778,  0.2000,  1.5308, -0.6554, -0.4382,\n",
       "                      -3.0079, -0.3300, -1.0118, -0.0075, -0.7469,  1.6544,  0.3247,  1.7018,\n",
       "                      -0.1439,  0.2659, -0.1401,  0.5675,  0.1440, -0.6941,  0.8218, -1.1282,\n",
       "                      -1.5820,  0.5946, -0.8334, -0.6151,  0.7300,  0.0615, -0.9049,  0.6444,\n",
       "                       0.4552, -1.9445,  0.6744,  0.5884,  1.4269,  1.3053,  1.2227, -1.9473,\n",
       "                       0.9952,  1.5762,  0.5764, -0.4721, -0.4788, -2.6884,  1.2352, -0.5778,\n",
       "                       0.3755, -0.2860,  0.9812, -1.4403, -1.5498,  0.3792, -0.0744,  1.8314,\n",
       "                       0.0714,  1.0078, -0.1555,  2.0394,  0.1196,  0.3767,  2.3382,  0.4171,\n",
       "                       0.1898,  0.9390, -0.0587, -0.5755,  1.1458, -1.3684,  1.1553, -0.3521,\n",
       "                       0.9106,  1.3698,  2.2790,  0.9598,  0.3906,  2.2714,  1.0703,  2.2381,\n",
       "                       0.9963, -0.4619, -0.1557, -1.6942, -1.3824, -0.6601,  0.8234,  1.1482],\n",
       "                     device='cuda:0')),\n",
       "             ('module.stage3.14.reparam_conv.weight',\n",
       "              tensor([[[[ 8.2567e-01,  1.0725e-01, -7.6472e-01],\n",
       "                        [ 3.2380e-01, -8.3787e-02, -3.2004e-01],\n",
       "                        [ 8.1233e-01, -9.0306e-02, -6.4890e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 7.8828e-04,  2.4596e-02,  1.7142e-02],\n",
       "                        [ 3.8442e-03,  1.5535e+00,  9.4087e-03],\n",
       "                        [-1.4088e-02, -2.0626e-02, -3.6189e-03]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 1.2870e-01,  1.3014e-01,  1.7101e-01],\n",
       "                        [ 8.2705e-02,  1.1017e+00,  1.1052e-01],\n",
       "                        [ 6.5652e-02,  1.9289e-01,  3.9992e-02]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-5.0285e-02, -1.0660e-01, -1.3391e-01],\n",
       "                        [-1.6382e-01,  1.5504e+00, -9.9026e-02],\n",
       "                        [-1.8231e-01, -2.4040e-01, -8.9371e-02]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 8.9852e-02, -1.8379e-01,  1.0389e-01],\n",
       "                        [ 2.5232e-01,  2.6034e-01,  1.8551e-01],\n",
       "                        [ 4.2884e-01,  5.7339e-01,  4.4496e-01]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 9.1284e-03, -6.7560e-01, -1.0925e-01],\n",
       "                        [ 3.6460e-01, -4.5560e-01,  3.1984e-01],\n",
       "                        [ 1.0417e-01, -6.4093e-01, -2.3837e-03]]]], device='cuda:0')),\n",
       "             ('module.stage3.14.reparam_conv.bias',\n",
       "              tensor([ 9.2797e-01, -3.2640e-01,  1.2715e-01, -1.5391e+00, -1.1994e+00,\n",
       "                      -5.6551e-01,  6.9680e-01, -7.2112e-02,  1.2412e-01, -1.9353e+00,\n",
       "                       1.1537e+00,  3.3098e+00, -1.7237e+00, -1.1420e+00, -1.8260e+00,\n",
       "                       5.7490e-01,  4.0412e-01,  1.2581e+00,  2.0100e+00,  3.6559e-01,\n",
       "                       1.4624e+00, -1.5719e-01, -1.7786e+00, -3.0984e+00,  2.7820e+00,\n",
       "                       1.7843e+00,  8.2771e-01, -6.9651e-01,  9.2165e-01, -3.9533e-03,\n",
       "                      -2.6048e+00, -1.3752e+00, -9.4994e-01, -4.0733e-01, -2.0579e-01,\n",
       "                       8.9973e-01,  1.5703e+00, -6.9765e-02,  4.6638e-01,  2.1377e+00,\n",
       "                      -1.1180e+00,  2.2520e+00, -1.5535e+00,  8.0520e-01,  2.3792e+00,\n",
       "                       3.0260e-01, -2.7402e-01,  7.7597e-01,  1.8088e+00, -6.0111e-01,\n",
       "                      -5.6779e-01, -1.3896e+00,  1.9647e-01,  2.1063e+00,  1.4864e+00,\n",
       "                       2.1882e+00,  1.7675e+00,  1.0796e+00,  8.5376e-01,  1.5250e+00,\n",
       "                       4.5549e-01,  3.4253e+00, -1.3962e+00,  1.0274e+00,  4.6660e-01,\n",
       "                      -2.6360e-02,  9.1356e-01,  4.3962e-01, -8.2071e-01,  1.2955e+00,\n",
       "                      -8.9073e-01, -1.1300e+00, -6.9840e-01,  1.9333e+00,  8.2102e-01,\n",
       "                      -2.9139e-01, -8.5166e-02,  5.1282e-02,  3.4607e-02,  1.1172e+00,\n",
       "                       5.0670e-02,  2.5427e+00, -1.4974e+00, -4.7336e-01,  1.0817e-01,\n",
       "                       2.3936e+00,  4.4088e-01, -1.5202e+00, -1.3623e-01,  1.7856e+00,\n",
       "                       5.5507e-01,  3.3528e-02,  1.7430e+00,  2.2148e+00,  1.7263e+00,\n",
       "                       1.5995e+00, -1.3303e-02,  4.1270e-01,  8.3079e-01,  1.0014e+00,\n",
       "                       4.1172e-01, -1.2653e+00,  1.5705e+00, -1.9541e+00, -1.8197e+00,\n",
       "                      -4.4975e-01,  1.0318e+00, -1.0381e+00,  9.7587e-01,  1.2181e+00,\n",
       "                       2.3853e+00, -1.5997e+00, -1.3028e-01,  2.1928e+00,  6.4053e-01,\n",
       "                       8.2515e-01,  3.0350e+00, -9.9639e-02,  1.6351e+00, -8.2592e-01,\n",
       "                       1.6536e+00, -2.0172e+00,  1.8396e+00,  1.3015e+00,  1.4880e+00,\n",
       "                      -1.0369e+00, -1.3734e+00, -1.4903e+00,  1.5138e+00,  1.5955e+00,\n",
       "                       1.1064e+00, -1.1493e+00,  6.0362e-01,  6.1394e-01, -7.4677e-01,\n",
       "                       2.0711e+00, -9.8741e-01, -3.4823e-01,  1.3591e+00,  4.3918e-01,\n",
       "                      -6.5235e-01,  2.3893e-01, -8.3529e-01,  2.5671e+00,  6.1510e-01,\n",
       "                       4.0948e-03, -1.1889e-02,  2.0149e+00, -1.2120e+00,  1.6663e+00,\n",
       "                      -5.0577e-01,  1.0703e+00, -1.3675e-01, -3.2535e-01,  1.2645e+00,\n",
       "                      -1.1234e+00, -1.8887e-01,  2.6332e+00,  4.4102e-01, -2.7194e-01,\n",
       "                      -4.1913e+00, -4.4923e-01,  1.3686e-01, -8.5420e-01, -1.6776e-01,\n",
       "                       1.3132e-02,  2.3488e-01,  2.6041e+00,  8.1899e-01,  1.5274e-02,\n",
       "                       1.1983e+00,  1.8524e+00, -5.1430e-01, -4.0426e-01, -6.1933e-01,\n",
       "                      -8.1660e-01, -3.0206e-02,  7.4056e-01,  1.0650e-02, -2.9035e-01,\n",
       "                      -4.1260e-01,  2.6135e+00,  2.1882e-01,  1.0641e+00,  6.2256e-01,\n",
       "                       5.9139e-01, -5.8800e-01,  1.4118e+00, -7.9272e-03,  1.5789e+00,\n",
       "                      -2.3700e+00, -7.1400e-01,  1.4484e-02, -1.1225e+00,  9.8704e-01,\n",
       "                       2.3915e+00,  1.3420e+00,  4.5545e-01,  3.0363e-01,  1.2924e+00,\n",
       "                      -1.3966e+00,  5.9213e-01,  1.6827e+00,  1.4841e+00,  8.7795e-01,\n",
       "                       2.1176e+00,  6.0070e-01,  3.0547e+00, -2.4378e-01,  1.1419e-01,\n",
       "                      -8.9100e-01,  6.0661e-01, -7.3758e-01, -9.2003e-01, -3.3012e-01,\n",
       "                      -3.2765e-02,  1.5583e+00,  3.0308e-01, -1.6656e+00, -1.9897e-02,\n",
       "                       4.4834e-01, -1.3488e+00, -1.6277e-01,  7.7018e-01,  1.9892e+00,\n",
       "                       1.5273e+00,  9.4844e-02,  1.0598e+00,  7.4629e-01,  1.7480e+00,\n",
       "                       7.6137e-01, -3.7967e-01, -1.9335e+00, -1.2940e-01, -1.1917e-01,\n",
       "                      -4.5461e-01, -9.3058e-01, -4.7987e-01, -3.8613e-02,  1.4751e-01,\n",
       "                       1.4600e+00,  1.4573e+00,  1.9332e+00,  6.6856e-01, -1.3976e+00,\n",
       "                      -1.6470e+00,  4.2370e+00,  1.1082e-01,  2.0718e+00,  1.4621e+00,\n",
       "                      -4.8668e-01, -6.2647e-01, -6.5719e-01,  1.5449e+00,  1.1417e-02,\n",
       "                       1.9669e+00], device='cuda:0')),\n",
       "             ('module.stage3.15.reparam_conv.weight',\n",
       "              tensor([[[[ 0.0120]],\n",
       "              \n",
       "                       [[ 0.0202]],\n",
       "              \n",
       "                       [[-0.0426]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0017]],\n",
       "              \n",
       "                       [[-0.0184]],\n",
       "              \n",
       "                       [[ 0.0288]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0117]],\n",
       "              \n",
       "                       [[-0.0083]],\n",
       "              \n",
       "                       [[-0.0553]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0217]],\n",
       "              \n",
       "                       [[-0.0770]],\n",
       "              \n",
       "                       [[-0.0724]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0594]],\n",
       "              \n",
       "                       [[-0.0310]],\n",
       "              \n",
       "                       [[-0.0058]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0325]],\n",
       "              \n",
       "                       [[ 0.0988]],\n",
       "              \n",
       "                       [[-0.1558]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0175]],\n",
       "              \n",
       "                       [[ 0.0060]],\n",
       "              \n",
       "                       [[ 0.0090]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0832]],\n",
       "              \n",
       "                       [[-0.0717]],\n",
       "              \n",
       "                       [[-0.0117]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0359]],\n",
       "              \n",
       "                       [[ 0.0016]],\n",
       "              \n",
       "                       [[-0.1149]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.1133]],\n",
       "              \n",
       "                       [[ 0.0281]],\n",
       "              \n",
       "                       [[ 0.0162]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0165]],\n",
       "              \n",
       "                       [[-0.0711]],\n",
       "              \n",
       "                       [[-0.0172]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0502]],\n",
       "              \n",
       "                       [[-0.0512]],\n",
       "              \n",
       "                       [[-0.0332]]]], device='cuda:0')),\n",
       "             ('module.stage3.15.reparam_conv.bias',\n",
       "              tensor([ 3.3251e+00,  1.1380e+00, -1.3930e+00, -2.0477e-01, -8.6675e-01,\n",
       "                      -1.4846e+00,  5.4981e-01,  1.0156e+00,  2.4262e+00, -1.0102e+00,\n",
       "                      -4.5841e-02, -1.1048e-01,  1.1191e+00, -3.3271e+00, -7.7555e-01,\n",
       "                      -1.5328e-01,  1.5141e+00, -2.9093e-01, -3.4675e-02, -1.3561e-01,\n",
       "                      -4.4283e-01,  2.1178e-01, -1.6062e+00, -7.7167e-01,  4.5980e-02,\n",
       "                       8.5981e-01,  1.6608e+00,  2.0977e+00, -9.1815e-01, -1.5641e+00,\n",
       "                      -9.9315e-01, -1.3609e+00, -1.1755e-03,  1.6832e-01,  1.4565e+00,\n",
       "                      -1.8633e+00, -1.4282e+00, -1.6828e+00, -1.2304e+00, -2.3900e-01,\n",
       "                       2.0616e+00, -2.4457e-01,  3.7576e+00, -2.2883e-01,  6.0634e-01,\n",
       "                      -5.4372e-01,  2.5243e+00, -1.0567e+00, -1.6686e+00, -2.1485e+00,\n",
       "                       1.3347e+00,  8.2073e-01, -9.8401e-01,  7.7220e-02, -1.0526e-01,\n",
       "                      -1.0327e+00,  5.3276e-01,  2.6486e-01,  1.3493e+00, -3.4669e+00,\n",
       "                       1.2888e+00, -1.3952e+00, -2.0460e+00, -1.5660e+00,  6.5410e-01,\n",
       "                      -9.4826e-01, -2.3352e+00, -1.3415e-01,  6.9571e-01, -1.5036e+00,\n",
       "                       1.3828e+00, -7.5782e-01,  2.3825e-01, -2.6948e+00,  6.3546e-01,\n",
       "                      -5.9156e-01, -2.6680e-01, -2.2171e+00, -2.8269e+00, -3.5141e+00,\n",
       "                       3.7992e+00,  7.2581e-01,  8.9817e-01,  1.4186e+00, -7.7413e-01,\n",
       "                      -2.1104e-01,  7.7845e-01,  1.1347e+00, -2.2870e+00, -1.8063e+00,\n",
       "                      -6.4834e-01,  2.6317e+00, -1.0963e+00,  1.1912e-01, -1.3832e+00,\n",
       "                      -1.5236e+00, -2.1515e+00, -1.6888e-01, -4.9879e-01, -9.4935e-01,\n",
       "                      -1.8309e+00,  1.7170e+00,  2.1821e+00, -7.4516e-01,  2.5782e+00,\n",
       "                       1.1244e+00, -6.0684e-02,  1.2648e+00,  2.5197e-01,  1.6700e+00,\n",
       "                       1.1532e+00, -3.1205e+00, -1.4698e+00, -1.2248e+00, -2.7085e-01,\n",
       "                       2.0484e+00,  7.5568e-01,  8.8490e-02,  1.0382e+00, -1.6225e-01,\n",
       "                      -9.2316e-01,  5.1810e-01, -3.8705e-01, -6.7535e-01, -2.9166e-01,\n",
       "                      -8.8677e-01, -3.1520e+00, -1.5568e+00, -1.4188e+00,  1.0940e-01,\n",
       "                      -1.4163e+00, -9.2823e-01, -1.6253e+00,  8.3383e-01, -1.5630e+00,\n",
       "                       3.3938e-01,  1.9532e+00,  1.9188e+00, -3.8702e+00, -2.7558e+00,\n",
       "                       8.1831e-01, -2.1569e+00,  1.1722e+00, -7.2551e-01,  1.4395e+00,\n",
       "                      -1.1034e+00,  1.8048e-01, -2.5699e+00, -2.3076e+00,  2.4376e-01,\n",
       "                       1.5328e+00,  4.8011e-01,  3.3109e-01, -4.9411e-01,  6.3821e-01,\n",
       "                       8.2632e-01,  1.1241e-01,  2.5065e-01, -1.6867e+00,  1.2827e+00,\n",
       "                      -7.8651e-01, -1.9440e+00, -1.9676e+00, -1.1087e+00, -2.2488e+00,\n",
       "                      -2.4939e+00,  1.8439e-01, -2.8274e+00,  7.7510e-01,  8.8982e-01,\n",
       "                      -9.9698e-01,  2.0505e+00,  1.3214e+00, -4.4088e+00, -1.0999e+00,\n",
       "                      -1.2502e+00,  1.4875e+00,  6.7016e-02, -4.2967e-01, -8.6780e-01,\n",
       "                      -7.2626e-01, -8.8084e-01,  7.4404e-01,  3.1091e+00, -2.9273e+00,\n",
       "                       2.5070e-01, -1.1287e+00,  2.1611e+00, -1.0962e+00,  3.9408e-01,\n",
       "                       7.8060e-01, -2.3389e+00, -4.0287e-01, -1.6659e+00, -8.1508e-03,\n",
       "                       3.7635e-02,  5.3244e-01, -2.2227e+00,  3.0480e-01, -1.1501e+00,\n",
       "                      -2.3837e+00, -7.8680e-01,  6.0196e-01,  1.3044e-01, -1.5820e+00,\n",
       "                       3.9649e-01, -1.0923e+00, -5.7026e-01,  2.1505e+00,  6.3756e-01,\n",
       "                      -3.0072e-01, -5.8226e-01, -4.9870e+00,  1.6222e-01, -1.8577e+00,\n",
       "                      -1.3788e+00,  7.9758e-01, -9.1141e-01,  8.4502e-02,  2.6029e+00,\n",
       "                       1.7593e-01, -9.0572e-01,  4.8157e-02, -2.5469e+00, -3.0267e+00,\n",
       "                      -5.6517e-01, -2.5304e+00,  4.0384e-01,  3.6380e-01,  5.8957e-01,\n",
       "                      -1.1586e+00, -1.0560e+00, -4.9010e-01,  3.0528e+00, -1.6767e+00,\n",
       "                      -1.2965e+00,  1.7469e+00,  3.3390e-01, -1.8016e+00,  7.9541e-01,\n",
       "                       4.9952e-01,  5.9462e-01, -3.1054e-01, -3.5884e+00, -2.9205e-01,\n",
       "                      -3.4087e+00, -3.1038e+00, -1.9926e+00, -1.8993e+00,  1.9217e+00,\n",
       "                       7.0074e-03, -1.2525e+00, -1.8273e+00,  1.5834e-01, -1.1963e+00,\n",
       "                      -2.1556e+00], device='cuda:0')),\n",
       "             ('module.stage3.16.reparam_conv.weight',\n",
       "              tensor([[[[ 0.0942,  0.3414,  0.1854],\n",
       "                        [ 0.2857,  1.4308,  0.2632],\n",
       "                        [ 0.0719,  0.2661,  0.1307]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0890,  0.7126,  0.2216],\n",
       "                        [ 0.1259,  1.2015,  0.2710],\n",
       "                        [-0.0307, -0.5532,  0.0908]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.3330,  0.5096,  0.3811],\n",
       "                        [ 0.0124, -0.0866, -0.0051],\n",
       "                        [ 0.0731, -0.2134,  0.0854]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0290,  0.0236,  0.0455],\n",
       "                        [ 0.1442,  1.3037,  0.1698],\n",
       "                        [-0.0690,  0.2933,  0.0540]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2856, -0.1690,  0.3383],\n",
       "                        [ 0.3329,  1.1954,  0.2846],\n",
       "                        [ 0.6271,  0.6687,  0.6905]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1236,  0.4465,  0.0899],\n",
       "                        [ 0.4169,  1.0040,  0.5118],\n",
       "                        [ 0.1798,  0.2874,  0.3093]]]], device='cuda:0')),\n",
       "             ('module.stage3.16.reparam_conv.bias',\n",
       "              tensor([-2.1207e+00, -1.2623e+00,  8.2586e-01, -1.5008e+00, -6.9124e-02,\n",
       "                      -4.9796e-01,  9.5188e-01, -1.5722e+00,  2.3245e+00, -1.3419e+00,\n",
       "                      -1.2269e+00, -1.3823e-01, -3.3969e-01, -2.0496e-01, -2.5989e-01,\n",
       "                       8.1016e-01,  6.3948e-02,  6.8359e-01, -1.3628e+00,  4.2058e-03,\n",
       "                      -4.5856e-01, -1.6068e+00, -5.3023e-02, -2.9401e-01,  1.4092e+00,\n",
       "                      -1.7502e+00,  4.9369e-01,  2.9805e+00, -1.8611e+00, -8.4196e-01,\n",
       "                      -9.9309e-01, -1.6378e+00, -9.7558e-01,  1.5544e+00,  2.1871e-01,\n",
       "                      -6.9754e-01, -7.2054e-01, -2.2413e-01,  2.2624e+00,  2.4129e+00,\n",
       "                      -1.0846e+00, -1.1590e+00,  4.9794e-03, -2.9282e-01, -9.1851e-01,\n",
       "                      -3.8431e-01,  4.0364e-01,  1.4883e+00, -1.1477e+00, -2.8947e-01,\n",
       "                       1.3614e+00, -1.8032e-01, -1.3507e+00, -4.6489e-01, -3.7352e-01,\n",
       "                       2.4324e+00,  1.8085e+00, -1.0360e+00,  3.5127e+00, -8.5506e-01,\n",
       "                       3.1985e+00, -1.4002e+00,  1.0136e+00, -8.9936e-01,  5.0661e+00,\n",
       "                      -1.2453e+00, -4.6683e-01, -2.3476e+00, -9.7126e-02, -1.7280e+00,\n",
       "                       2.3025e+00, -1.5543e+00, -7.8631e-01, -6.7426e-01, -1.8723e+00,\n",
       "                      -7.2414e-01,  1.0569e+00, -3.8377e-01, -6.3768e-01, -5.1763e-01,\n",
       "                       1.3819e+01,  2.8209e+00, -1.9574e+00,  2.2091e+00,  8.9663e-01,\n",
       "                      -2.8377e-01,  3.4881e+00, -1.5615e+00, -7.1025e-01,  2.4437e+00,\n",
       "                      -5.5954e-01,  4.6125e+00, -1.8569e+00, -9.2813e-01, -1.6426e+00,\n",
       "                       9.5491e-01,  1.9015e-01,  1.0354e+00, -2.1702e-01, -8.9112e-02,\n",
       "                      -5.9064e-01,  1.2905e-01,  9.8821e-01, -5.6801e-01,  7.9007e-01,\n",
       "                       6.4105e-02,  6.2852e-01,  2.2661e+00,  2.2486e+00, -1.9907e-01,\n",
       "                       2.3874e+00, -1.5962e+00,  2.7075e+00, -4.0707e-02, -2.1400e-01,\n",
       "                       1.3564e+00,  8.8337e-01,  2.7462e+00,  1.5338e+00, -1.3107e-01,\n",
       "                      -1.8380e+00, -1.1803e-01, -4.7374e+00,  1.1441e+01,  2.1081e+00,\n",
       "                      -1.4185e-01, -2.4462e+00, -2.5808e-01, -3.5978e-01, -2.4403e+00,\n",
       "                      -1.4024e+00,  1.3045e+00, -2.5311e-01,  5.7437e-01, -5.5400e-01,\n",
       "                       1.1537e+00, -8.2061e-02, -1.8859e+00, -1.1643e+00,  3.7496e-01,\n",
       "                       2.0258e+00,  2.6965e-02, -3.4943e-01, -3.0862e-02,  2.4821e+00,\n",
       "                      -2.3047e-02,  5.1629e-01, -6.8127e-01, -2.7035e+00,  1.2560e+00,\n",
       "                       1.8084e+00, -9.0052e-01,  2.5232e-01, -1.9689e+00,  1.3361e+00,\n",
       "                      -7.5007e-01, -5.3290e-01, -1.0332e-02, -1.0196e-01,  4.9729e+00,\n",
       "                      -1.3702e+00, -1.3884e+00, -5.0069e-01, -1.2145e-01, -2.1425e+00,\n",
       "                       5.9611e-02, -9.5183e-02, -1.0412e-01, -1.4500e+00,  2.8853e+00,\n",
       "                      -2.3661e+00,  1.5076e+00,  8.9236e-01,  1.8687e-02, -1.1498e+00,\n",
       "                       1.1560e+00,  2.2196e+00,  1.7942e-01,  7.1985e-01, -5.4207e-01,\n",
       "                      -3.6106e-01, -2.6552e-01, -1.6622e+00, -4.4274e-01, -1.1759e+00,\n",
       "                      -3.7993e-01, -6.0350e-01,  1.7629e+00, -1.0626e-01,  1.4119e+00,\n",
       "                       1.1246e+00,  2.6651e+00, -1.3162e+00, -3.6899e+00, -8.1660e-01,\n",
       "                      -1.6273e+00, -3.1855e-01, -1.3178e+00, -3.3315e-01,  2.1502e+00,\n",
       "                      -2.1131e+00, -3.1145e+00, -2.3014e-01,  1.2811e+00,  1.7434e-01,\n",
       "                       9.5203e-01, -2.8338e+00, -4.5355e-02,  5.0569e-01,  3.4126e+00,\n",
       "                       1.0660e+00, -8.3025e-01, -2.9317e-02, -2.2110e+00, -3.2612e-01,\n",
       "                      -6.1526e-01,  3.2331e-02, -4.2304e-01,  1.1277e+00,  3.7368e+00,\n",
       "                      -7.2311e-01, -9.8580e-01, -8.2374e-02, -8.0861e-01, -1.9546e+00,\n",
       "                      -1.5582e+00, -4.8988e-01,  2.0697e-01, -1.8963e+00, -6.4913e-01,\n",
       "                       1.3889e+00, -2.0511e+00, -2.3674e+00,  2.6223e+00,  5.4051e-02,\n",
       "                      -1.8978e-01,  1.7143e-01,  2.1675e+00, -2.0398e+00,  2.8343e+00,\n",
       "                      -1.0488e-01,  1.0098e-01, -1.6766e+00,  1.3314e+00,  5.3030e-01,\n",
       "                       1.7759e-01, -1.0530e+00, -1.5350e+00, -7.1865e-02, -9.4701e-01,\n",
       "                      -2.8043e-02, -1.0002e-01,  1.5814e-01, -9.5011e-01, -4.6323e-01,\n",
       "                      -3.8886e-01], device='cuda:0')),\n",
       "             ('module.stage3.17.reparam_conv.weight',\n",
       "              tensor([[[[ 0.3014]],\n",
       "              \n",
       "                       [[-0.0098]],\n",
       "              \n",
       "                       [[-0.0038]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0263]],\n",
       "              \n",
       "                       [[ 0.0523]],\n",
       "              \n",
       "                       [[-0.0298]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0524]],\n",
       "              \n",
       "                       [[ 0.0939]],\n",
       "              \n",
       "                       [[ 0.0451]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.1179]],\n",
       "              \n",
       "                       [[ 0.0825]],\n",
       "              \n",
       "                       [[-0.0085]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0109]],\n",
       "              \n",
       "                       [[-0.1346]],\n",
       "              \n",
       "                       [[ 0.0538]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0195]],\n",
       "              \n",
       "                       [[ 0.0350]],\n",
       "              \n",
       "                       [[-0.0277]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0824]],\n",
       "              \n",
       "                       [[ 0.0034]],\n",
       "              \n",
       "                       [[-0.0503]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.1638]],\n",
       "              \n",
       "                       [[-0.0192]],\n",
       "              \n",
       "                       [[ 0.0087]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0050]],\n",
       "              \n",
       "                       [[-0.0174]],\n",
       "              \n",
       "                       [[ 0.0503]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.1278]],\n",
       "              \n",
       "                       [[ 0.0074]],\n",
       "              \n",
       "                       [[-0.1618]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0029]],\n",
       "              \n",
       "                       [[ 0.0078]],\n",
       "              \n",
       "                       [[-0.0928]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0862]],\n",
       "              \n",
       "                       [[-0.0080]],\n",
       "              \n",
       "                       [[-0.1577]]]], device='cuda:0')),\n",
       "             ('module.stage3.17.reparam_conv.bias',\n",
       "              tensor([ 1.4411e+00, -3.6182e-01, -2.7427e+00, -9.6802e-01,  2.9406e+00,\n",
       "                       2.0889e-01, -3.4864e-01, -1.5142e+00, -2.2704e-01, -3.8392e-01,\n",
       "                      -1.5888e+00, -9.2358e-01, -1.1479e+00, -1.6618e+00,  2.4267e-01,\n",
       "                      -1.4676e+00, -1.2215e+00, -2.3245e-01, -4.4138e+00, -1.1213e-02,\n",
       "                      -3.5130e-03,  4.5229e-01, -1.1965e+00, -2.4741e+00, -2.9950e-01,\n",
       "                      -1.7737e-02, -6.0161e-01, -1.6835e+00,  4.1911e-01,  3.4639e+00,\n",
       "                      -1.3788e+00,  3.6710e+00, -1.4815e+00, -1.1775e+00, -2.3943e+00,\n",
       "                      -1.0365e+00, -1.4311e+00, -2.6346e+00, -2.6123e+00, -3.6902e+00,\n",
       "                      -1.8332e+00,  1.0705e+00, -1.6935e+00,  1.3709e+00, -1.7209e+00,\n",
       "                      -8.0556e-01, -2.8449e+00, -1.5276e+00, -8.0403e-01, -2.1085e+00,\n",
       "                      -1.0430e+00, -1.6551e+00, -1.0027e+00, -3.1110e+00,  3.2785e-01,\n",
       "                       3.0238e-01, -5.6121e+00, -1.0732e+00, -1.1730e+00,  2.4199e-01,\n",
       "                      -2.5233e+00,  2.0752e+00, -1.0955e+00, -7.3419e-01,  1.3835e+00,\n",
       "                      -2.1768e+00, -2.4944e+00,  2.1890e-01,  2.0443e+00, -2.4864e+00,\n",
       "                      -3.1501e+00, -3.0610e+00, -2.1122e+00, -2.4414e+00, -3.2545e+00,\n",
       "                      -4.3454e+00, -1.0105e-01, -2.1889e+00, -1.1819e+00, -1.8471e+00,\n",
       "                      -2.2277e+00, -1.7035e+00, -1.1734e+00, -9.3644e-01, -2.9496e+00,\n",
       "                       6.9868e-01,  1.5849e+00, -2.2933e+00, -1.8324e+00,  1.2986e+00,\n",
       "                       1.9154e-01, -1.8817e+00, -1.1207e+00, -1.9742e+00, -1.2610e-01,\n",
       "                      -2.0022e+00, -2.6242e+00, -2.6724e+00,  1.2572e+00, -1.3570e+00,\n",
       "                      -5.3818e+00, -8.7037e-02, -6.6265e-01, -4.0684e+00,  3.3722e-01,\n",
       "                      -7.9060e-01, -1.9739e+00, -8.2176e-01, -3.2604e+00, -3.1536e+00,\n",
       "                      -7.9488e-01, -6.3169e-01, -2.4756e+00, -4.2069e+00, -4.2314e-01,\n",
       "                      -5.6757e+00,  1.5246e-01,  3.1317e-01, -1.3891e-01,  4.2552e-01,\n",
       "                      -3.5206e+00, -2.6487e+00, -2.5678e+00, -3.6506e+00, -3.6401e+00,\n",
       "                      -3.1220e-01, -1.1686e+00, -1.4687e+00, -6.7453e-01,  2.0597e+00,\n",
       "                      -1.0344e+00, -3.1512e+00, -1.3793e-01,  1.0965e+00, -1.5334e+00,\n",
       "                      -2.6956e+00,  2.8168e-03, -5.0300e+00, -2.1393e-01, -3.9732e-01,\n",
       "                      -3.0491e+00, -1.5231e+00,  7.5987e-01,  2.3710e-01, -3.3721e-01,\n",
       "                      -1.3046e-01, -1.8751e-02, -3.2764e+00, -3.2544e+00, -2.7220e+00,\n",
       "                      -1.1864e+00, -2.6595e+00, -1.9307e+00, -1.8484e+00, -3.1872e+00,\n",
       "                      -1.5554e+00, -1.0951e+00,  3.3306e-01,  1.2181e+00, -3.3070e+00,\n",
       "                      -9.3886e-01, -1.7905e+00, -1.8680e+00,  5.2003e-02,  1.3254e+00,\n",
       "                      -3.6021e+00,  2.2381e-01, -3.8344e-01, -1.6722e+00, -5.3386e+00,\n",
       "                       1.2680e+00, -2.7582e+00,  1.5751e+00, -2.2530e+00, -3.0376e+00,\n",
       "                      -4.6357e-01, -1.5661e+00, -7.8725e-02,  4.4555e-01, -3.5447e+00,\n",
       "                       1.0526e-01, -1.5875e+00, -2.3751e+00, -3.6084e+00,  5.4517e-01,\n",
       "                      -1.8236e+00,  1.1229e+00, -1.9994e-01, -3.2317e+00,  2.1819e-01,\n",
       "                      -1.0884e+00, -1.2795e+00, -2.3546e+00,  6.1093e-01, -1.3959e+00,\n",
       "                      -3.2377e-01, -3.0930e+00,  1.5169e+00, -7.9950e-01,  4.0677e-01,\n",
       "                      -2.0400e+00,  9.8102e-01, -2.5312e+00, -1.0174e+00, -2.6026e+00,\n",
       "                      -4.0383e-01, -1.0951e+00,  8.8780e-01, -3.1642e+00, -2.1173e+00,\n",
       "                      -1.0248e+00, -1.6239e+00, -3.4367e-01,  1.6981e+00, -1.8718e+00,\n",
       "                      -1.9983e+00, -2.9310e+00, -1.9432e+00, -1.4299e+00, -3.3593e+00,\n",
       "                       5.9554e-01, -1.5957e+00,  1.2714e-01, -1.9211e+00, -3.0639e+00,\n",
       "                       8.0224e-01, -2.4520e+00, -9.4934e-01,  2.1440e+00, -3.4982e-02,\n",
       "                      -2.6408e+00, -1.0005e+00,  3.1093e-01, -3.2114e+00, -6.1137e-01,\n",
       "                      -1.1645e+00,  1.2624e-01,  1.5580e+00, -4.0559e+00, -2.2096e+00,\n",
       "                      -4.9075e+00,  1.7028e+00, -1.5595e+00, -1.1176e+00, -2.9123e+00,\n",
       "                      -5.3466e+00, -3.3478e-01, -1.7497e+00, -3.6565e-02, -1.1847e+00,\n",
       "                       5.5607e-01, -2.2540e+00, -3.5200e+00, -2.2154e+00, -5.2257e+00,\n",
       "                      -7.0395e-01], device='cuda:0')),\n",
       "             ('module.stage3.18.reparam_conv.weight',\n",
       "              tensor([[[[ 0.1978,  0.1779,  0.2441],\n",
       "                        [ 0.3366, -0.3496,  0.3456],\n",
       "                        [ 0.2413,  0.2379,  0.2687]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2094,  0.3971,  0.4311],\n",
       "                        [ 0.5481, -0.1705,  0.5103],\n",
       "                        [ 0.2607,  0.4843,  0.4766]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2675,  0.1952,  0.2305],\n",
       "                        [ 0.3616, -0.2090,  0.2906],\n",
       "                        [ 0.3968,  0.2703,  0.5039]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1725,  0.2612,  0.2883],\n",
       "                        [ 0.4686, -0.3954,  0.4173],\n",
       "                        [ 0.3006,  0.2972,  0.3825]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1681,  0.2401,  0.3174],\n",
       "                        [ 0.5124, -0.3303,  0.3982],\n",
       "                        [ 0.3656,  0.2191,  0.4061]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1982,  0.3669,  0.3227],\n",
       "                        [ 0.7523, -0.4027,  0.6035],\n",
       "                        [ 0.4113,  0.6847,  0.6046]]]], device='cuda:0')),\n",
       "             ('module.stage3.18.reparam_conv.bias',\n",
       "              tensor([ 1.9172e-01, -2.9281e-01,  1.2258e-01, -3.0295e-01, -4.6058e-01,\n",
       "                      -5.3204e-01, -2.9755e-01, -6.9581e-03, -9.0256e-01, -4.0853e-01,\n",
       "                       1.8351e+00, -4.0693e-01, -3.6173e-01, -9.4010e-02, -5.4447e-01,\n",
       "                      -4.0272e-01, -9.5776e-01,  3.0025e+00, -1.7077e-01,  8.0077e-02,\n",
       "                       1.0592e-02, -1.4256e-01, -1.0445e-02, -4.2822e-01, -9.9617e-01,\n",
       "                      -1.0749e-01,  1.3218e+00, -1.0309e-01,  2.5539e-02, -1.7782e+00,\n",
       "                       2.8965e+00, -1.5316e-01,  1.4968e-02,  2.6103e+00,  2.9513e+00,\n",
       "                       4.1737e-01, -1.6947e-01, -3.4513e-01, -1.2368e-03, -5.2623e-01,\n",
       "                      -1.7142e-01, -3.1092e-01, -4.2521e-01, -2.3537e-01, -1.9650e-01,\n",
       "                      -9.8314e-02, -8.3048e-02, -5.3250e-01, -1.4531e-02, -2.4209e-01,\n",
       "                       7.4849e-02, -2.3077e-01,  1.6871e+00, -1.1678e-01,  1.2048e+00,\n",
       "                       1.9568e+00, -1.5123e-01, -1.6261e-01,  3.2162e-01, -7.5194e-03,\n",
       "                      -3.7718e-01,  3.5822e+00,  8.7370e-02, -2.9487e-01, -2.5961e-01,\n",
       "                      -1.5418e-01,  5.1557e-02, -1.9119e-01,  4.2806e-02, -7.4788e-01,\n",
       "                      -3.0238e-01, -2.3721e-01, -3.0330e-01, -4.5476e-01, -1.0067e+00,\n",
       "                       1.5990e+00,  2.0515e+00, -1.4876e-01,  2.9393e-01, -2.6372e-01,\n",
       "                      -9.2724e-02,  6.0859e-02, -1.5030e+00, -3.7793e-01, -1.6137e-01,\n",
       "                      -1.8024e-01,  6.8072e-02,  7.1784e-01, -1.2831e-01,  8.5238e-01,\n",
       "                      -1.1214e-01, -7.0664e-01, -1.8458e-01, -2.1085e-01, -8.1450e-01,\n",
       "                       1.3067e-02, -7.6918e-02, -1.6304e-01, -2.1844e-01, -4.3251e-01,\n",
       "                      -2.9168e-02,  1.2691e+00,  1.6679e+00,  2.4297e-01,  8.2133e-02,\n",
       "                      -2.8968e-01, -3.4436e-01,  6.3018e-02,  1.6615e-01, -1.2597e-02,\n",
       "                       2.4344e+00, -2.9819e-01, -3.1012e-01, -1.7611e-03, -2.4421e-01,\n",
       "                      -5.0969e-02,  2.0154e+00, -5.0728e-01, -5.6071e-01, -5.1357e-01,\n",
       "                      -9.1085e-02, -5.2962e-01, -2.5713e-01, -5.1661e-02, -9.2216e-01,\n",
       "                      -4.8106e-02,  3.8536e+00, -2.1914e-01, -2.6281e-01, -3.9888e-01,\n",
       "                      -9.2035e-02, -8.0459e-02, -1.3290e+00, -3.0591e-01, -1.4954e-02,\n",
       "                      -1.9137e-01, -5.7739e-02, -1.0777e-01,  1.6098e-01,  2.2423e+00,\n",
       "                       1.7969e-01, -1.7619e-01,  1.3782e-01, -1.5925e-01, -1.5124e-01,\n",
       "                      -4.2965e-02,  2.1271e+00, -3.3491e-01,  9.9139e-02,  2.4093e-01,\n",
       "                      -4.3742e-01,  4.3295e-01, -3.5466e-01, -2.3128e-01,  3.3372e-02,\n",
       "                      -8.1191e-02, -1.5345e-01,  1.2033e+00,  1.7180e+00, -3.6581e-01,\n",
       "                       2.3302e+00, -1.1326e-01, -6.7504e-01,  1.7726e-02, -4.6893e-01,\n",
       "                      -8.5723e-01, -2.3317e-01,  2.0118e-01, -3.5487e-02, -1.5417e-01,\n",
       "                      -3.1599e-01, -4.2743e-01,  6.4923e-02, -1.7604e-01, -1.3818e-01,\n",
       "                      -3.5099e-01, -3.4613e-01, -1.1237e-01,  1.8045e+00,  2.9927e-02,\n",
       "                      -2.1510e+00, -2.1195e-01,  1.7129e-01, -1.4460e-01,  3.1703e+00,\n",
       "                      -3.1930e-01,  2.5750e+00,  1.7979e+00,  1.7903e+00,  2.0375e+00,\n",
       "                      -1.2792e-01, -3.3224e-01, -1.4228e-01, -2.1379e-01, -5.1302e-02,\n",
       "                      -5.1643e-01, -7.2753e-01, -2.0031e-02, -5.9195e-02, -3.3921e-01,\n",
       "                      -1.9649e-01,  3.3498e+00, -2.6051e-01, -1.6728e-01, -1.0607e+00,\n",
       "                      -1.6734e+00,  3.9303e-02,  1.8551e+00,  1.6685e+00, -4.1762e+00,\n",
       "                      -5.4097e-01, -3.4037e-01, -3.4701e-01,  1.3971e+00,  1.5355e+00,\n",
       "                      -3.8633e-01, -1.8129e-01,  6.4576e-02,  3.7561e+00, -7.6872e-02,\n",
       "                      -3.9866e-01, -1.2633e+00, -2.4034e+00,  2.1584e-02,  2.9034e+00,\n",
       "                      -1.6470e-01,  1.5489e-01, -4.2839e-01,  3.3230e+00,  1.9933e+00,\n",
       "                      -1.4089e-01,  2.0124e-01,  3.2310e-02, -2.2798e-01, -1.4766e-01,\n",
       "                       1.0229e-01, -3.4761e-01, -7.2833e-03, -3.1338e-01,  1.5479e-01,\n",
       "                      -6.9869e-01,  3.3495e-01, -1.2875e-01, -7.2684e-02, -1.3238e-01,\n",
       "                      -2.0460e-01,  1.4939e+00, -4.9166e-01, -4.1492e-01,  1.9861e+00,\n",
       "                      -1.4413e-01, -4.3697e-01,  4.4454e-01,  9.0668e-02, -1.6446e-02,\n",
       "                      -3.4375e+00], device='cuda:0')),\n",
       "             ('module.stage3.19.reparam_conv.weight',\n",
       "              tensor([[[[ 0.5479]],\n",
       "              \n",
       "                       [[-0.0048]],\n",
       "              \n",
       "                       [[-0.0066]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0069]],\n",
       "              \n",
       "                       [[-0.0071]],\n",
       "              \n",
       "                       [[-0.0229]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0293]],\n",
       "              \n",
       "                       [[ 0.0542]],\n",
       "              \n",
       "                       [[ 0.0389]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0477]],\n",
       "              \n",
       "                       [[-0.0297]],\n",
       "              \n",
       "                       [[-0.0035]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0209]],\n",
       "              \n",
       "                       [[ 0.0345]],\n",
       "              \n",
       "                       [[-0.0652]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0235]],\n",
       "              \n",
       "                       [[-0.0131]],\n",
       "              \n",
       "                       [[ 0.0500]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0073]],\n",
       "              \n",
       "                       [[-0.0406]],\n",
       "              \n",
       "                       [[ 0.0961]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.0049]],\n",
       "              \n",
       "                       [[ 0.0948]],\n",
       "              \n",
       "                       [[ 0.0951]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0023]],\n",
       "              \n",
       "                       [[ 0.0021]],\n",
       "              \n",
       "                       [[ 0.0538]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0106]],\n",
       "              \n",
       "                       [[-0.1127]],\n",
       "              \n",
       "                       [[ 0.0153]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0316]],\n",
       "              \n",
       "                       [[-0.1598]],\n",
       "              \n",
       "                       [[ 0.0045]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.1138]],\n",
       "              \n",
       "                       [[ 0.0284]],\n",
       "              \n",
       "                       [[ 0.0927]]]], device='cuda:0')),\n",
       "             ('module.stage3.19.reparam_conv.bias',\n",
       "              tensor([ 1.0564e+00,  1.5869e+00,  3.9387e-01, -1.4156e+00,  6.9085e-01,\n",
       "                       2.5407e-01,  2.2602e-01, -1.5894e+00,  1.9757e-01,  2.0244e+00,\n",
       "                      -1.9969e+00, -1.6430e-01,  8.0107e-01,  3.5932e-01, -8.2915e-01,\n",
       "                      -3.6444e-01, -1.1502e+00,  1.8518e+00, -2.2645e-01, -6.5157e-01,\n",
       "                       5.0790e-01, -1.4035e+00, -7.8172e-01,  7.8193e-01, -1.0840e+00,\n",
       "                       1.9605e+00,  1.0626e-01, -9.1957e-01, -1.5172e+00, -1.5820e-01,\n",
       "                       7.7564e-01, -6.9208e-01, -2.8511e-01,  1.4476e+00, -5.1931e-01,\n",
       "                      -9.4963e-01,  2.3396e+00, -5.0323e-01,  1.3564e+00, -1.0177e+00,\n",
       "                       1.5638e+00,  3.6279e-02, -1.2815e+00,  6.4632e-02, -1.4874e-02,\n",
       "                      -9.7733e-01, -1.1162e-03, -6.7429e-01, -2.7027e-01, -5.1649e-01,\n",
       "                      -1.2032e-01,  2.9455e-01,  4.6203e-01,  7.4249e-01, -2.7672e-01,\n",
       "                       1.6532e+00, -6.6820e-01,  7.0285e-01,  7.0646e-01,  4.8324e-01,\n",
       "                      -7.6173e-01, -1.0098e+00,  2.4819e+00,  6.9404e-01, -1.0282e+00,\n",
       "                      -1.4672e+00,  1.0815e+00,  7.7738e-03, -4.8513e-01,  2.4802e+00,\n",
       "                       3.3596e-01, -5.9998e-01, -1.1039e+00, -1.5342e+00, -1.8439e+00,\n",
       "                      -4.0667e+00,  2.8479e+00,  2.5727e-01,  1.2910e+00, -1.8988e+00,\n",
       "                      -6.6630e-01, -1.8853e+00,  8.1170e-01, -1.8214e+00, -9.5409e-01,\n",
       "                      -7.4829e-01, -1.0450e+00, -1.7107e+00, -2.1382e+00, -9.1375e-02,\n",
       "                      -9.9123e-01,  1.6059e+00, -4.3068e-01, -3.5195e-01,  1.5556e-01,\n",
       "                       7.5972e-01, -1.6028e+00,  1.6092e+00,  5.6334e-01,  6.8668e-01,\n",
       "                      -6.2249e-01, -6.3036e-01, -9.0037e-01, -8.9001e-01,  1.6127e+00,\n",
       "                       6.7548e-01, -2.1920e+00, -1.3849e-01, -1.8268e-01, -4.5535e-01,\n",
       "                       5.3249e-01, -8.2552e-01, -1.3688e-01,  1.3160e-01,  1.1207e+00,\n",
       "                      -6.5892e-01, -1.4254e-01,  4.2082e-01,  1.1223e+00, -1.5787e+00,\n",
       "                      -1.9552e+00, -1.6043e+00,  1.7536e+00, -8.1613e-01, -1.6907e+00,\n",
       "                       4.3393e-01, -1.5328e+00,  8.7607e-01,  1.8374e+00,  1.1509e+00,\n",
       "                      -2.6351e+00,  3.5619e-01,  1.1930e+00,  8.8069e-01, -3.7243e+00,\n",
       "                       1.6830e+00,  1.6852e+00,  1.7044e+00, -1.1353e+00, -5.7394e-01,\n",
       "                       1.0400e+00,  2.1688e-01, -5.8732e-01, -1.5634e-01, -5.5838e-01,\n",
       "                       1.4847e-01,  1.8869e-01, -8.1036e-01, -5.7380e-01, -4.7335e-01,\n",
       "                       1.8381e+00, -7.2681e-01,  1.0746e+00,  2.8408e-01, -1.1074e+00,\n",
       "                      -8.7630e-01, -1.6406e-01, -1.0180e+00,  2.2866e-01,  1.8666e+00,\n",
       "                      -7.7797e-01, -7.1367e-01, -8.9060e-01,  3.4602e-01,  1.9373e+00,\n",
       "                      -9.6288e-01, -9.6455e-01,  1.2957e+00, -9.3270e-01,  8.3642e-01,\n",
       "                      -7.2386e-01,  5.7317e-01, -2.5786e-01,  1.5525e+00, -1.2878e+00,\n",
       "                      -2.1828e+00,  8.2960e-01, -7.9344e-01, -1.6720e+00, -6.6736e-01,\n",
       "                      -3.6687e-01, -5.9908e-03,  4.2596e-01,  9.4191e-01,  1.1452e+00,\n",
       "                      -2.2026e+00, -3.1769e-01, -7.1649e-01, -8.5902e-01,  2.8981e-02,\n",
       "                       1.5101e+00, -7.5123e-01, -1.8306e+00, -1.6719e-01,  7.5584e-02,\n",
       "                       3.3617e-02, -1.4981e+00,  1.8989e+00,  1.6307e+00, -9.4610e-01,\n",
       "                       9.5318e-01,  2.2545e+00, -1.3467e+00, -7.6407e-02,  2.3109e+00,\n",
       "                      -1.7724e+00,  5.0962e-01, -3.2267e-01,  2.4490e+00, -1.0811e+00,\n",
       "                      -7.6598e-01,  2.0279e+00,  1.0686e+00, -2.7949e-01,  2.3390e+00,\n",
       "                      -2.7978e+00,  4.9911e-01, -3.5933e-01, -1.1193e+00, -6.0189e-01,\n",
       "                      -3.1761e+00, -1.9152e+00, -8.7662e-01, -8.8452e-01, -2.4246e+00,\n",
       "                       8.0082e-01, -2.1173e-01, -1.4577e+00,  1.1516e+00, -1.6225e+00,\n",
       "                       1.1690e-02,  9.1779e-01,  1.5822e+00,  1.6549e-01, -1.3616e+00,\n",
       "                      -4.9386e-01,  2.2942e-01, -1.7222e+00, -2.4798e-02,  5.5688e-01,\n",
       "                       1.3508e+00,  5.9594e-01, -3.6509e-01,  1.3794e+00, -9.9786e-02,\n",
       "                       3.7071e-01, -7.6883e-01, -4.1207e-01,  2.1850e-01,  1.4200e+00,\n",
       "                      -7.2422e-01,  2.2707e-01,  7.0898e-01, -1.6457e+00, -2.2357e-01,\n",
       "                       5.9796e-03], device='cuda:0')),\n",
       "             ('module.stage4.0.reparam_conv.weight',\n",
       "              tensor([[[[-0.0981, -0.5043, -0.3305],\n",
       "                        [-0.6390, -1.4168, -0.9224],\n",
       "                        [-0.4460, -0.9808, -0.7392]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0339, -0.2617, -0.1620],\n",
       "                        [-0.3643, -0.7081, -0.5444],\n",
       "                        [-0.2187, -0.5486, -0.3743]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0941,  0.2513,  0.1526],\n",
       "                        [ 0.2246,  0.4798,  0.3642],\n",
       "                        [ 0.1555,  0.4011,  0.2584]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0923,  0.3835,  0.1532],\n",
       "                        [ 0.3041, -0.0458,  0.2858],\n",
       "                        [ 0.1532,  0.4511,  0.2216]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.0956,  0.2105,  0.1887],\n",
       "                        [ 0.2759,  0.4435,  0.3493],\n",
       "                        [ 0.1681,  0.2780,  0.2394]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.1257,  0.3324,  0.1649],\n",
       "                        [ 0.2970,  0.5544,  0.4366],\n",
       "                        [ 0.2767,  0.5133,  0.3060]]]], device='cuda:0')),\n",
       "             ('module.stage4.0.reparam_conv.bias',\n",
       "              tensor([ 6.3073e+00,  4.5103e+00, -2.3823e-01, -1.1781e-01,  5.1437e+00,\n",
       "                       7.4867e-01, -2.3538e+00,  6.1650e-02, -2.0360e-01,  6.2412e+00,\n",
       "                      -1.3565e-01, -1.7968e-01,  5.7798e-02, -1.5545e+00, -1.6869e-01,\n",
       "                      -1.2762e-01, -4.5391e-02,  6.8684e+00, -1.5026e-01, -1.5138e-01,\n",
       "                      -1.8379e-01, -9.4865e-04, -2.1730e-01,  1.6340e+00, -1.3070e-01,\n",
       "                       2.5565e+00, -3.8602e-01, -9.9445e-02, -7.1083e-03, -1.0077e-01,\n",
       "                      -4.3575e-01, -2.8516e-01,  2.9890e+00,  4.3449e+00, -1.7926e+00,\n",
       "                      -2.2465e-01,  7.5258e+00,  1.0293e+00,  4.9429e+00, -9.9764e-02,\n",
       "                       4.2511e+00,  4.6017e+00, -1.3159e-01, -1.1881e+00,  4.8375e+00,\n",
       "                      -3.9620e-01, -8.5514e-01, -1.0096e-01,  5.9011e-02, -2.4038e-01,\n",
       "                      -3.5277e-02,  5.6215e+00, -2.0051e+00,  2.4869e-01, -3.3291e-01,\n",
       "                       4.2897e+00, -1.1281e-01,  4.8072e+00, -1.1904e-01,  2.4332e+00,\n",
       "                      -2.1423e+00,  2.0312e-01,  5.1780e+00, -1.2705e+00, -1.2545e-01,\n",
       "                      -1.2621e-01,  4.9199e+00, -7.3357e-01, -1.6476e-01,  1.2320e+01,\n",
       "                      -1.1227e-03,  6.7349e-02, -1.7158e-01, -6.1327e-02, -5.8706e-01,\n",
       "                      -2.1685e-01,  6.4657e+00, -4.4016e-01,  5.5685e+00, -1.4658e+00,\n",
       "                       1.3058e-01, -4.5814e-02,  2.0257e+00, -2.1336e-01, -9.1961e-02,\n",
       "                      -4.3762e-01, -1.5197e-01, -5.1490e-03, -6.9289e-02, -2.2868e+00,\n",
       "                       1.2649e-02,  5.5087e+00,  1.0478e-01, -3.6370e-01, -1.6727e+00,\n",
       "                      -7.0158e-03,  4.7013e-02,  7.1662e+00,  3.0056e-01, -3.7993e-01,\n",
       "                      -9.5864e-02, -6.3084e-01,  7.5991e-02, -6.8177e-02,  5.8961e+00,\n",
       "                      -7.4701e-01, -2.2485e-01, -1.1432e-01, -1.1250e-01,  1.3954e-02,\n",
       "                      -1.4201e-02, -1.1233e-01, -6.3679e-02,  3.3966e+00,  4.6614e+00,\n",
       "                      -9.6623e-02,  1.3937e+00, -1.4069e-01,  5.9638e+00,  1.7581e-02,\n",
       "                      -5.9311e-02, -1.1213e-01,  5.1983e+00, -1.2831e-01, -5.2450e-02,\n",
       "                      -1.4925e+00,  9.0742e-02, -1.2083e+00,  3.8288e+00,  5.9878e+00,\n",
       "                      -9.6461e-02, -1.5227e+00,  4.5858e+00,  7.2668e-01, -3.5684e-02,\n",
       "                       3.7569e+00,  4.6756e+00,  5.0765e+00, -1.7342e-01, -4.1614e-01,\n",
       "                       2.2128e+00,  5.0751e+00, -9.4795e-02, -2.7917e-01, -3.9357e-02,\n",
       "                      -2.6519e-01,  5.5479e-02, -1.6031e-01, -3.7407e-02, -3.9857e-01,\n",
       "                       6.2589e+00,  6.7691e-02, -2.5063e-02, -3.4528e-02, -2.2538e-01,\n",
       "                      -3.1350e-02, -1.9789e-01, -8.1089e-02, -2.6825e-01,  4.9251e+00,\n",
       "                      -4.5529e-02, -1.6440e-01,  1.8427e-02, -2.1123e-01,  3.3304e+00,\n",
       "                      -4.0501e-02, -2.2396e-02,  5.3887e+00,  1.5977e-01,  5.5910e+00,\n",
       "                      -1.8337e-01, -2.2283e+00, -3.4812e-02,  6.3502e+00, -3.0472e-01,\n",
       "                       4.1880e-02, -1.2981e+00, -2.2181e-01, -3.3404e-02, -1.5853e-01,\n",
       "                      -3.4205e-01, -1.4377e-02, -1.1984e-01, -2.2911e+00,  6.6996e+00,\n",
       "                       3.0664e-02, -8.3069e-02, -1.7804e+00,  2.2987e-02,  4.1850e+00,\n",
       "                       5.3922e+00,  6.6012e-03, -9.3215e-02, -1.6468e-01, -7.3304e-02,\n",
       "                       1.1734e+00, -1.9919e-01,  4.6992e+00,  6.1182e+00, -8.4070e-02,\n",
       "                      -1.4668e+00,  5.0225e+00,  2.7700e-03,  2.7517e-02,  5.6322e+00,\n",
       "                      -1.5832e-01, -2.5177e+00, -7.3499e-01,  5.3084e+00, -1.5754e-01,\n",
       "                      -5.2820e-02,  4.3220e+00,  6.2628e+00, -5.1270e-01,  4.9679e+00,\n",
       "                      -2.1789e-01,  1.1551e+00, -2.0299e-01, -3.8975e-01, -7.5479e-02,\n",
       "                      -4.8891e-02, -1.3368e-01, -1.0510e-01, -3.1511e-01, -4.2137e-01,\n",
       "                      -3.9991e-01, -1.6705e-01,  7.5204e-01,  3.6902e+00, -6.5241e-02,\n",
       "                       2.5047e-02,  3.9256e+00,  5.3185e+00, -6.2240e-02, -1.1118e-01,\n",
       "                      -1.2783e-01, -7.5307e-03, -2.2078e-01, -1.6333e-01, -4.4003e-01,\n",
       "                       5.6733e+00,  6.3215e+00, -3.1159e-01,  5.4977e+00, -1.1119e-01,\n",
       "                      -1.3975e+00, -9.3612e-02,  2.1551e+00,  7.0258e-02,  5.2953e+00,\n",
       "                      -1.3646e-02,  1.3682e+00,  6.8243e+00, -9.4781e-02,  6.3530e-02,\n",
       "                      -5.2433e-02], device='cuda:0')),\n",
       "             ('module.stage4.1.reparam_conv.weight',\n",
       "              tensor([[[[ 0.1790]],\n",
       "              \n",
       "                       [[-0.0843]],\n",
       "              \n",
       "                       [[ 0.4541]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.6806]],\n",
       "              \n",
       "                       [[ 0.6873]],\n",
       "              \n",
       "                       [[ 0.1649]]],\n",
       "              \n",
       "              \n",
       "                      [[[ 0.2338]],\n",
       "              \n",
       "                       [[-0.3028]],\n",
       "              \n",
       "                       [[ 0.1585]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.1263]],\n",
       "              \n",
       "                       [[-0.7066]],\n",
       "              \n",
       "                       [[ 0.1711]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.4566]],\n",
       "              \n",
       "                       [[-0.5821]],\n",
       "              \n",
       "                       [[-0.0715]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.0231]],\n",
       "              \n",
       "                       [[-0.2408]],\n",
       "              \n",
       "                       [[-0.1784]]],\n",
       "              \n",
       "              \n",
       "                      ...,\n",
       "              \n",
       "              \n",
       "                      [[[-0.0810]],\n",
       "              \n",
       "                       [[ 0.0113]],\n",
       "              \n",
       "                       [[-0.2677]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.4264]],\n",
       "              \n",
       "                       [[-0.4684]],\n",
       "              \n",
       "                       [[ 0.3875]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.0012]],\n",
       "              \n",
       "                       [[-0.2405]],\n",
       "              \n",
       "                       [[ 0.1386]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[ 0.2953]],\n",
       "              \n",
       "                       [[ 0.1223]],\n",
       "              \n",
       "                       [[-0.2340]]],\n",
       "              \n",
       "              \n",
       "                      [[[-0.1408]],\n",
       "              \n",
       "                       [[ 0.2040]],\n",
       "              \n",
       "                       [[ 0.2523]],\n",
       "              \n",
       "                       ...,\n",
       "              \n",
       "                       [[-0.3475]],\n",
       "              \n",
       "                       [[-0.2682]],\n",
       "              \n",
       "                       [[ 0.2302]]]], device='cuda:0')),\n",
       "             ('module.stage4.1.reparam_conv.bias',\n",
       "              tensor([-0.9852,  3.9651, -7.4415,  ...,  1.0837, -0.4196, -1.2074],\n",
       "                     device='cuda:0')),\n",
       "             ('module.linear.weight',\n",
       "              tensor([[-0.0369, -0.0513,  0.1738,  ...,  0.0327, -0.0435, -0.0258],\n",
       "                      [ 0.0344, -0.0878, -0.0651,  ...,  0.0261, -0.0509,  0.0262],\n",
       "                      [-0.0218,  0.0805, -0.0493,  ..., -0.0412, -0.0694,  0.0022],\n",
       "                      ...,\n",
       "                      [-0.0248,  0.0259, -0.0398,  ..., -0.0103, -0.0514,  0.0333],\n",
       "                      [-0.0523, -0.0560, -0.0418,  ..., -0.0019, -0.0255, -0.0532],\n",
       "                      [ 0.0136,  0.0937, -0.0534,  ..., -0.0161,  0.2255, -0.0200]],\n",
       "                     device='cuda:0')),\n",
       "             ('module.linear.bias',\n",
       "              tensor([-0.0170,  0.0286, -0.0202,  0.0071,  0.0212, -0.0292,  0.0190,  0.0161,\n",
       "                      -0.0178, -0.0310,  0.0019, -0.0068, -0.0120,  0.0143, -0.0265,  0.0162,\n",
       "                      -0.0306], device='cuda:0'))])"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "torch.load('./weights/mobilenet_s0_dog.pth')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "torch1",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "1e610da6369678f261160b66cb79a44937b63677291cd93401a56dbe6bb61b74"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
